vision of the department: mission of the · pdf filemission of the department: ... fixed bias,...

1

MISSION OF THE DEPARTMENT:

To achieve academic excellence.

To create research environment.

To interact with industry for mutual benefits.

To serve the community for the socio economic developments.

VISION OF THE DEPARTMENT: “To be a recognized leader in Instrumentation discipline by creating a good platform

of learning and research with commitments to the socio economic developments”

VISION OF THE INSTITUTE:

“To be recognized as a premier technical institute committed to developing exemplary

professionals, offering research based innovative solutions and inspiring inventions

for holistic socio economic development”

MISSION OF THE INSTITUTE:

To pursue excellence through student centric dynamic teaching-learning

processes, encouraging freedom of inquiry and openness to change.

To carry out innovative cutting edge research and transfer technology for

industrial and societal needs.

To imbibe moral and ethical values and develop compassionate, humane

professionals.

DEPARTMENT OF

ELECTRONICS &

INSTRUMENTATION

ENGINEERING

(E&IE)

BASAVESHWAR

ENGINEERING

COLLEGE

(BEC)

2

Department of Electronics and Instrumentation Engineering

14%

14%

18%

24%

2%

4%

3%

10%

11%

Streamwise Distribution of B.E. Program in E&IE

Basic Science

Basic Engineering

Electronics

Instrumentation

Electrical

Computer Science

Humanities and Social Science

Project + Seminar

Electives from Various streams

3

SCHEME OF TEACHING AND EXAMINATION

B.E. (III SEM) ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl.

No.

Subject Code Subject Credits Hours/Week Examination Marks

Lecture Tutorial Practical CIE SEE Total

1 UMA301C Engineering Mathematics –III 04 4 0 0 50 50 100

2 UEI351C Analog Electronics 04 4 0 0 50 50 100

3 UEI352C Digital Electronics 03 3 0 0 50 50 100

4 UEI353C Sensors and Transducers 04 4 0 0 50 50 100

5 UEI354C Electrical Circuit Analysis 04 3 2 0 50 50 100

6 UEI355H Entrepreneurship Development 03 3 0 0 50 50 100

7 UEI356L*

Basic Circuits Laboratory 01 0 0 2 50 50 100

8 UEI357L Digital Electronics Laboratory 01 0 0 2 50 50 100

9 UEI358L Instrumentation Laboratory 01 0 0 2 50 50 100

10 UMA001M**

Advanced Mathematics-I -- 4 - 50 50 100

Total 25 21***

02 06 450 450 900

* An audit laboratory with title: Circuits Laboratory (UEI356A), only for students admitted to 3rd

Semester through lateral entry (Diploma) scheme. Passing the subjects is compulsory: however the marks will not be considered for awarding grade/class. A PP/NP grade will be awarded for passing/not passing the subject.

* * Advanced Mathematics-I is a mandatory subject only for students admitted to 3rd


***The total lecture hours for students admitted to 3rd

Semester through lateral entry (Diploma) scheme is 25 hours, total

CIE marks is 500, SEE marks is 500 and total marks is 1000.

2014-15 Admitted

Batch

4


B.E. (IV SEM) ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl.

No.

Subject Code Subject Credits Hours/Week Examination Marks


1 UMA401C Engineering Mathematics–IV 04 4 0 0 50 50 100

2 UEI451C Digital Design using HDL 04 4 0 0 50 50 100

3 UEI452C Data Acquisition and Converter 03 3 0 0 50 50 100

4 UEI453C Signals & Systems 04 4 0 0 50 50 100

5 UEI454C Linear ICs and Applications 04 3 2 0 50 50 100

6 UEI455C Electronic Measurement &

Instrumentation

03 3 0 0 50 50 100

7 UEI456L

Linear ICs & Data Converters

Laboratory

01 0 0 2 50 50 100

8 UEI457L*

Measurement Laboratory 01 0 0 2 50 50 100

9 UMA002M**

Advanced Mathematics-II -- 4 - 50 50 100

Total 25 21***

02 06 400 400 800

* An audit laboratory with title: Basic Measurement Laboratory (UEI457A), only for students admitted to 3rd


* * Advanced Mathematics-II is a mandatory subject only for students admitted to 3rd



Semester through lateral entry (Diploma) scheme is 25 hours total

CIE marks is 450, SEE marks is 450 and total marks is 900.

2014-15 Admitted

Batch

6

DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.

GENERAL INSTRUCTIONS:

THEORY SUBJECT ASSESSMENT:

1. Each theory subject is evaluated for 100 marks giving equal weight age for CIE and SEE

(50 CIE and 50 SEE).

2. Three CIE each of 30 marks will be conducted at an interval of about one month. Each

CIE marks obtained is scaled down to 15 marks and 5 marks for assignment: making total

of 50.

3. SEE will be conducted for 100 marks and marks obtained are scaled down to 50 marks.

4. SEE question paper pattern:

Total of eight questions to be set uniformly covering the entire syllabus

Each question should not have more than 4 sub divisions

Any five full questions are to be answered choosing at least one from each

unit.

LABORATORY ASSESSMENT:

1. Each laboratory subject is evaluated for 100 marks (50 CIE and 50 SEE).

2. Allocation of 50 marks for CIE:

Performance and journal write-up:

Marks for each experiment = 30 marks/No. of proposed experiments.

One practical test for 20 marks.( 5 write-up,10 conduction, calculation,

results etc., 5 viva-voce).

3. Allocation of 50 marks for SEE: 25% write-up, 50% conduction, calculation, results etc,. 25% viva-voce.

7

UMA301C ENGINEERING MATHEMATICS-III 4 Credits (4-0-0)

Course Objectives:

1. To learn numerical solutions of first and second order ODE, numerical differentiation

and integration.

2. To understand the concepts of a continuous and discrete integral transform in the form

of Fourier and Z-transforms.

3. To understand the concepts of partial difference equation and linear algebra.

UNIT-I Numerical Analysis: Roots of Equations: Motivation, Non computer methods for determining roots, roots of Equations and Engineering Practice, Mathematical background, goals and objectives: Bracketing Methods, Graphical Methods. The Bisection Method, The Newton – Raphson Method, Pitfalls of the Newton – Raphson Method: Multiple roots, Modified Newton – Raphson Method for multiple roots. Finite differences, Forward and Backward difference operators (No derivation on relation between operators). Newton-Gregory Forward and Backward interpolation formulae (without proof). Lagrange‘s and Newton‘s divided difference interpolation formulae (without proof). Numerical differentiation using Newton‘s Forward and Backward formulae. Numerical Integration: Trapezoidal rule, Simpson‘s one third, Simpson‘s three eighth rule and Weddle‘s rule (no derivation of any formulae). Numerical solutions of first

order ODE- Euler‘s and Modified Euler‘s Method, Runga Kutta 4th

order Method, Milne‘s Predictor and Corrector method (problems only).

13 Hrs.

UNIT-II Fourier Series, Fourier Transforms, Z-Transforms: Periodic functions, Conditions for

Fourier series expansions, Fourier series expansions of continuous functions and functions

having infinite number of discontinuities, even and odd functions. Half-range series, Practical

Harmonic Analysis. Infinite Fourier transforms and inverse Fourier transforms- simple

properties, Complex Fourier transforms, Fourier sine and Fourier cosine transforms, Inverse

Fourier sine and cosine transforms, Convolution Theorem. Z-Transforms-definition, standard

forms, linearity property, damping rule, shifting rule- problems.

13 Hrs.

UNIT-III Partial Differential Equations: Formation of partial differential equations by elimination of arbitrary constants and arbitrary functions, Solution of equation of the type : Pp Qq R, Charpit‘s Method, Solution of PDE by the method of separation of variables. Derivation of one dimensional heat and wave equations. Numerical solution (finite difference) of one-dimensional heat and wave equations by explicit method, Laplace equation by using standard five point formula.

13 Hrs.

UNIT-IV

8

Linear Algebra: Rank of a matrix by elementary transformations, Consistency of system of linear equations, Gauss-Seidel Method, Characteristic values and Characteristic Vectors of matrices (no theorems), Largest Eigen value and the corresponding Eigen Vector by Power Method. Calculus of Variations: Variation of a function and a functional, Extremal of a functional, Variational problems, Euler‘s equation, Standard variational problems including Geodesics, Minimal Surface of Revolution, Hanging Chain and Brachistochrone problems.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to use mathematical knowledge to analyze and solve the engineering problems

Ability to apply the knowledge effectively in physical problems

Ability to demonstrate the knowledge in various engineering disciplines.

Text Books:

1. Steven C Chapra, Raymond P Canale, "Numerical Methods for Engineers".

2. Dr. B. S. Grewal, "Higher Engineering Mathematics", Khanna Publishers, New Delhi.

3. E. Kreyszig, "Advanced Engineering Mathematics", John Wiley & Sons.

4. Kreyszig, H. K. Dass, "Higher Engineering Mathematics", S. Chand & Co.

9

UEI351C: ANALOG ELECTRONICS

4 Credits (4-0-0)

Course Objectives:

1. To impart the knowledge of electronic devices, diodes and its applications.

2. To learn the techniques of transistor biasing, FET and BJT small signal analysis.

3. To apply the knowledge for the analysis and design of basic discrete or integrated

electronic circuits.

UNIT-I Semiconductor Diode: diode equivalent circuits, transition & diffusion capacitance, Reverse recovery time, clippers, clampers. Transistor biasing: Operating point, fixed bias, emitter

stabilized bias, DC bias with voltage feedback, miscellaneous bias configuration, design operations, bias stabilization.

13 Hrs.

UNIT-II

BJT small signal analysis with re transistor model: Common emitter fixed bias configuration,

CE- emitter bias configuration, common base configuration and collector feedback

configuration. Power amplifiers: Definition and amplifier types, series fed class-A amplifier,

transformer coupled class A amplifier, class-B operation, amplifier distortion.

13 Hrs.

UNIT-III FET biasing: Fixed bias, self bias, voltage divider bias, depletion type MOSFETs, enhancement

type MOSFETs. FET small signal analysis: FET small signal model, JFET fixed bias

configuration, JFET self bias configuration, JFET voltage divider bias configuration, JFET

source follower configuration, designing FET amplifier networks.

13 Hrs.

UNIT-IV Feedback amplifiers: Feedback concepts, feedback connection types, feedback amplifiers. BJT frequency response: General frequency considerations, low frequency analysis, Miller effect capacitance. Other two terminal devices: Introduction, Schottky barrier diodes, Varactor diodes, Power diodes, Tunnel diodes, Photodiodes.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand the operating principles of major electronic devices

Ability to connect the operating principles to the physical operation of devices

Ability to apply the knowledge to the analysis and design of basic discrete electronic

circuits.

10

Text Books:

1. Robert L. Boylestad, Nashelsky, "Electronic Devices and Circuit Theory", PHI, 9th

Edition, 2005.

2. David A. Bell, "Electronic Devices and Circuits", PHI, 4th

Edition, 2004.

Reference Books:

1. Jacob Milman, Christos C. Halkias, “Integrated Electronics”, TMG, 1991 Edition. 2. A.P. Malvino, “Electronic Principles”, TMH, 1993. 3. Jacob Millman, Arvin Grabel, “Microelectronics”, McGraw Hill, 1996.

11

UEI352C: DIGITAL ELECTRONICS

3 Credits (3-0-0)

Course Objectives:

1. To understand the principles of combinational logic circuits.

2. To develop an ability to conduct experiments and analyze digital electronic circuits.

3. To design different combinational circuits like comparator, adders and code converters.

4. To design and analyze different types of sequential circuits.

UNIT-I Principles of Combinational Logic: Definition of combinational logic, Canonical forms, Generation of switching equations from truth tables, Karnaugh maps-3, 4 and 5 variables, Incompletely specified functions (Don‘t Care terms), Simplifying Max term equations. Quine-McCluskey minimization technique- Quine-McCluskey using don‘t care terms, Reduced Prime Implicant Tables, Map entered variables.

10 Hrs.

UNIT-II Analysis and Design of Combinational Logic: General approach, Decoders-BCD decoders,

Encoders. Digital multiplexers: Boolean function implementation. Adders and subtractors -

Cascading full adders, Look ahead carry adder, Binary comparators. Introduction to Sequential

Circuits: Basic Bistable Element, Latches, SR Latch, Application of SR Latch, A Switch

Debouncer, The SR Latch, The gated SR Latch, The gated D Latch

10 Hrs.

UNIT-III Sequential Circuits: The Master-Slave Flip-Flops (Pulse-Triggered Flip-Flops): SR, JK. Edge

Triggered Flip-Flop: The Positive Edge-Triggered D Flip-Flop, Negative-Edge Triggered D

Flip-Flop. Characteristic equations, Registers, Counters - Binary ripple counters, Synchronous

binary counters, Counters based on shift registers, Design of a synchronous counters, Design of a

synchronous Mod-6 counter using clocked JK flip-flops, Design of a synchronous Mod-6

counter using clocked D, T, and SR flip-flops.

10 Hrs.

UNIT-IV Sequential Circuits: Introduction, Mealy and Moore Models, State machine motation,

Synchronous sequential circuit analysis. Sequential Design: Construction of state diagrams,

Design examples: Counter design.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to design combinational logic and sequential logic

Ability to analyze some of the basic digital systems and synchronous machines.

12

Text Books:

1. John M Yarbrough, "Digital Logic Applications and Design", Thomson Learning, 2001.

2. Donald D. Givone, "Digital Principles and Design", Tata McGraw Hill, Edition 2002 (For unit III).

Reference Books:

1. Charles H. Roth Jr, "Fundamentals of Logic Design", Thomson Learning, 2004.

2. Mono and Kim, "Logic and Computer Design Fundamentals", Pearson, 2nd

Edition, 2001.

3. Rajshekhar Allurkar, "Logic Design", CBS Publishers, 2008.

13

UEI353C: SENSORS AND TRANSDUCERS

4 Credits (4-0-0)

Course Objectives:

1. To impart the fundamental concepts, working principles and applications of various

sensors and transducers for measuring important physical parameters.

2. To develop an ability to use sensor and transducer for practical applications.

UNIT-I Introduction to Sensor-Based Measurement Systems: General concepts and terminology, Sensor classification, General input-output configuration, Static characteristics of measurement systems, Dynamic characteristics, Other sensor characteristics, Materials for sensors, Introduction to microsensor technology. Resistive type: Potentiometers, Strain gages, Resistive temperature detectors (RTD), Thermistors.

13 Hrs.

UNIT-II Resistive type: Magnetoresistors, Light-dependent resistors (LDR), Resistive hygrometers,

Resistive gas sensors, Liquid conductivity sensors. Self-Generating Sensors: Thermoelectric

sensors: Thermocouples, Piezoelectric sensors, Pyroelectric sensors, Photo voltaic sensors,

Electrochemical sensors.

13 Hrs.

UNIT-III Reactance Variation and Electromagnetic Type: Capacitive sensors, Inductive sensors,

Electromagnetic sensors.

13Hrs.

UNIT-IV Digital and Intelligent Sensors: Position encoders, Resonant sensors, Intelligent sensors. Other

sensing methods: Based on semiconductor junctions, Based on MOSFET transistors, Fiber optic

sensors, Ultrasonic based sensors, Biosensors.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to learn basics of instrumentation devices and systems

Ability to analyze the use of sensor and transducer for some of the applications.

Text Book:

1. Ramon P. Areny, John G. Webster, "Sensors and Signal Conditioning", 2nd

Edition, Wiley

India Private Ltd.

Reference Books:

1. Ian R Sinclair, "Sensors and Transducers", 3rd

Edition, Newnes Publication.

2. D. Patranabis, "Sensors and Transducers", 2nd

Edition, PHI.

3. Allan S. Morris, "Measurement and Instrumentation Principles", 3rd

Edition, Butterworth &

Heinmann Publication.

4. John Bentley, "Principles of Measurement Systems", 3rd

Edition, 2004, Pearson

Publication.

14

UEI354C: ELECTRICAL CIRCUIT ANALYSIS

4 Credits (3-2-0)

Course Objectives:

1. To impart knowledge on nodal and mesh analysis.

2. To analyze networks using different theorems and transient behavior of networks.

3. To apply electrical circuit techniques to find response using Laplace

transformation.

UNIT-I The circuit concept and the most basic tools of circuit analysis (applied to DC and AC circuits): Voltage and current sources, Kirchhoff’s voltage and current laws, Series and parallel combinations of sources, Series and parallel combinations of elements, Voltage and current division, Source transformations, Delta-Y conversions, Sinusoidal steady state analysis, Nodal and mesh analysis.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-II Network theorems (applied to DC and AC circuits): Superposition theorem,

Thevenin’s theorem, Norton’s theorem, Maximum power transform theorem. Transient

behavior and initial conditions in networks: Initial and final conditions in elements,

Geometrical interpretation of derivatives, A procedure for evaluating initial conditions.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-III Resonance: The resonance effect, Series resonance, Parallel resonance, Bandwidth and

selectivity of resonant circuit, Q factor of resonant circuit. Circuit Analysis with

Laplace transformations: Introduction of LT and ILT, s-domain impedance and

admittance, The s-domain models for initially charged capacitor and initially fluxed

inductor, Determination of the complete s-domain model for a given circuit, Application

of various circuit analysis methods to s-domain circuit models, Application of LT

methods to obtain the complete solutions for first-order and second order circuits.

10Hrs.

Tutorial: 06 Hrs.

UNIT-IV Network topology: Network and network graph, Incidence matrix, Properties of

incidence matrix, Tree of network variables, Tie set and Tie set schedule, Cut set and Cut

set schedule, Formulation and solution of network equations using Tie set schedule and

Cut set schedule. Two port network parameters: Relationship of two-port variables,

Short circuit admittance parameters, Open-circuit impedance parameters, Transmission

parameters, hybrid parameters, Relationship between parameter sets.

10 Hrs.

Tutorial: 06 Hrs.

Total: 40 Hrs. Theory

24 Hrs. Tutorial

15

Course Outcomes:

Ability to understand the basic concepts, mesh current analysis, node voltage

analysis and Laplace transform

Ability to apply these methods to solve network problems.

Text Books:

1. M.E. Van Valkenburg, "Network Analysis", PHI, 3rd

Edition, 2002.

2. William D. Stanley, "Network Analysis with Applications", Pearson Education, 4th

Edition, 2004.

Reference Books:

1. . H. Hayt, J. E. Kemmerly and S. M. Durbin, "Engineering Circuit Analysis", TMH, 6th

Edition, 2006.

2. Roy Choudhary, "Networks & Systems", New Age International Publishers.

16

UEI355H: ENTREPRENEURSHIP DEVELOPMENT

3 Credits (3-0-0)

Course Objectives:

1. To learn the fundamental functions and characteristics of entrepreneurs.

2. To inculcate ability to communicate and work in multidisciplinary teams.

3. To acquire skills to conceive, design, implement, and operate systems in an enterprise

and societal context.

4. To facilitate decision making process for setting up new enterprise and profitable

operation of the enterprise.

UNIT-I Entrepreneur: Meaning of entrepreneur, Evolution of the concept, Functions of an entrepreneur, Characteristics of an entrepreneur, Competencies of an entrepreneur, Types of entrepreneur, Intrapreneur – an emerging class. Entrepreneurship: Evolution of entrepreneurship, Development of entrepreneurship, Stages in entrepreneurial process, Role of entrepreneurs in economic development, Entrepreneurship in India, Barriers of entrepreneurship. Women Entrepreneurship: Definition, Environment, Challenges in the path of women entrepreneurship, Strategies for the development of Women entrepreneurs, Self-help groups.

10 Hrs.

UNIT-II Small Scale Industries: Definition, Characteristics, Need and rationale, Objectives, Scope, Role

of SSI in economic development, Advantages of SSI, Steps to start an SSI, Various government

policy towards SSI, Different policies of SSI, Government support for SSI during 5 year plans,

Impact of liberalization, privatization, globalization on SSI, Effect of WTO/GATT, Supporting

agencies of government for SSI: Meaning, Nature of support, Types of help, Ancillary industry

and Tiny industry (Definition Only).

10 Hrs.

UNIT-III Institutional Support: TECKSOK, KIADB, KSSIDC, KSIMC, DIC Single window agency,

SISI (MSME-DI), NSIC, SIDBI, KSFC, Institutions supporting women entrepreneurship in

India.

10 Hrs.

UNIT-IV Preparation of Project: Meaning of project, Project identification, Project selection, Project

report, Need and significance of report, Contents, Formulation, Guidelines by planning

commission of India for project report, Network analysis, Errors of project report, Project

appraisal. Identification of Business Opportunities: Business opportunity in various sectors,

Formalities for setting up of a small business enterprise (In brief with flow chart), Market

feasibility study, Technical feasibility study, Financial feasibility study, Social feasibility study.

The E – commerce: Benefits of selling on the web, Factors to be considered in launching, Myths

of E-commerce, Approaches to E-commerce, Strategies for E-success.

10 Hrs.

Total: 40 Hrs.

17

Course Outcomes:

Ability to understand the meaning, need and importance of entrepreneurship

Awareness about state and central government agencies/organizations which support the

SSI

Ability to prepare business report

Capability to start own enterprise and possible contribution to the society.

Text Books:

1. Poornima M. Charantimath, “Entrepreneurship Development - Small Business

Enterprises”, Pearson Education, 2006. 2. Vasant Desai, “Dynamics of Entrepreneurial Development & Management”, Himalaya

Publishing House.

3. Thomas W. Zimmerer, Norman M. Scarborough, “Essentials of Entrepreneurship & Small Business Management”, 4th

Edition, Pearson Education.

Reference Books:

1. Ramesh Burbere, “Management & Entrepreneurship”, Rohan Publishers. 2. Edward de Bono, “Six Thinking Hats”, Back Bay Books - Little, Brown and Company.

18

UEI356L: BASIC CIRCUIT LABORATORY

(UEI356A: CIRCUITS LABORATORY)

1 Credit (0-0-2)

Course Objectives:

1. To conduct experiments on rectifiers, clipping and clamping circuits.

2. To design and understand the working of Darlington emitter follower.

3. To understand the usage of transistors in amplifier circuits.

4. To verify network theorems (resistive networks).

List of Experiments:

1. Study of basic instruments.

2. Characteristic of Diode.

3. Characteristic of Transistor.

4. Characteristic of FET.

5. Rectifiers: Half, full, bridge, with and without filters.

6. Clipping circuits.

7. Clamping circuits.

8. Darlington Emitter follower.

9. Frequency response of RC coupled amplifier.

10. Verification of Thevenin’s & Norton’s theorem. 11. Verification of Maximum power transfer & superposition theorem.

12. Frequency response of series and parallel resonance circuit.

Course Outcomes:

Ability to conduct experiments on rectifiers, clipping and clamping circuits

Ability to design and test Darlington emitter follower

Ability to design and test amplifiers

Ability to verify and use network theorems.

19

UEI357L: DIGITAL ELECTRONICS LABORATORY

1 Credit (0-0-2)

Course Objectives:

1. To experience the operation of various logic gates and digital circuits.

2. To understand the design of combinational logic and sequential circuits.

3. To conduct experiment to verify various combinational circuits, FFs, shift registers and

counters.


1. Simplification, realization of Boolean expressions using logic gates/universal gates.

2. Realization of Half/Full adder and Half/Full Subtractors using logic gates.

3. Realization of Binary to Gray code conversion, BCD to Excess-3 and vice versa.

4. Realization of parallel adder/Subtractors, Code converter (BCD to Excess-3) using 7483

chip.

5. MUX/DEMUX – use of 74153, 74139 for arithmetic circuits and code converter.

6. Realization of One/Two bit comparator and study of 7485 magnitude comparator.

7. Use of: a) Decoder chip to drive LED display b) Priority encoder.

8. Truth table verification of Flip-Flops: (i) JK Master slave (ii) T type and (iii) D type.

9. Realization of 3 bit counters as a sequential circuit and MOD – N counter design (7476,

7490, 74192, 74193).

10. Shift register (74LS95).

Course Outcomes:

Ability to realize Boolean expression using basic gates and universal gates

Ability to realize binary adder/subtractor circuits using gates/ICs

Ability to design and analyze the comparator, multiplexers, decoders, encoders circuits

using ICs

Ability to design and analyze different shift registers and counters using gates and FFs

Ability to demonstrate the digital logic designs in technical projects.

20

UEI358L: INSTRUMENTATION LABORATORY

1 Credit (0-0-2)

Course Objectives:

1. To impart with fundamental concepts, working principles and applications of various

transducers for measuring temperature, displacement, strain and flow.

2. To analyze the sensor and transducer characteristics practically.

3. To promote the usage of various sensors and transducers in variety of applications.


1. Transfer characteristics of Thermocouple.

2. Transfer characteristics of RTD.

3. Transfer characteristics of LVDT.

4. Transfer characteristics of Thermistor.

5. Transfer characteristics of LDR.

6. Transfer characteristics of Resistive displacement (linear & angular) transducer.

7. Transfer characteristics of AD590.

8. Relay switching.

9. Study of I/P and P/I converter.

10. Transfer characteristic of Level transmitter.

11. Calibration of pressure gauge.

12. Transfer characteristic of Load cell (Full bridge strain gauge arrangement).

13. Study of reluctance type Proximity switch.

Course Outcomes:

Ability to learn basics of instrumentation devices and systems practically

Ability to use various sensors and transducers in real time applications.

21

UMA001M: ADVANCED MATHEMATICS-I

(4-0-0)

Course Objectives:

1. To learn to solve differential calculus and integrals.

2. To learn higher order differential equations.

UNIT-I

Differential Calculus: Geometrical interpretation of differentiation. Determination of nth

derivative of standard functions. Leibnitz‘s theorem (without proof) and problems. Polar curves and angle between polar curves. Pedal equation of polar curves. Taylor‘s series, Maclaurin‘s series for single variable. Partial derivatives, Euler‘s theorem. Total differentiation.

Differentiation of composite and implicit functions. Jacobian‘s and their properties. 18 Hrs.

UNIT-II

Integral Calculus: Reduction formula for functions Sin n x, Cos

n x, tan

n x, Sin

m x Cos

m x. and

evaluation of these integrals with standard limits-problems. Double and Triple integrals simple

problems (with standard limits). Beta and Gamma functions, properties, relation between Beta

and Gamma functions simple problems.

11 Hrs.

UNIT-III Higher Order Differential Equations: Differential equations of second and higher orders with

constant coefficients. Method of undetermined coefficients, Variation of parameters and

Cauchy‘s homogeneous linear equations. 11 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to use mathematical knowledge to analyze and solve the problems



.

Text Books:

1. B. S. Grewal, “Elementary Mathematics”, Khanna Publishers, Delhi. 2. B. S. Grewal, “Engineering Mathematics”, Khanna Publishers. 3. B. S. Grewal, “Higher Engineering Mathematics”, Khanna Publishers.

22

UMA401C: ENGINEERING MATHEMATICS –IV 4 Credits (4-0-0)

Course Objectives:

1. Learn to solve complex integrals and analytical functions.

2. Learn fitting of a curve, correlation, regression for a statistical data.

3. Learn the basic concepts of statistics, probability and random variables.

4. Learn the concepts of probability distributions.

5. Learn the concepts of stochastic process and Markov chain.

UNIT-I Complex Analysis: Analytic functions, Cauchy-Riemann equations in Cartesian and polar forms-consequences, construction of analytic function (Cartesian and polar forms). Definition of

Conformal transformations: z2, e

z, z

2 where z 0, Bilinear transformations. Complex

Integration: Line integral, Cauchy‘s theorem-Corollaries, Cauchy‘s integral formula. Taylor and Laurent‘s series (statements only), Singularities, poles, calculations of residues, Residue theorem (without proof)-problems.

14 Hrs.

UNIT-II Special Functions: Series solution of Bessel‘s differential equation, recurrence formulae, generating function, orthogonal property, Bessel‘s integral formula. Series solution of Legendre‘s differential equation recurrence formulae, generating function, orthogonal property, Rodrigue‘s formula. 14 Hrs. UNIT-III Statistics and Probability: Curve fitting by the method of least squares: y a bx, y

abx,

y a bx cx2 .correlation and regression. Probability addition rule, conditional probability,

multiplicationrule, Baye‘s rule. Discrete and continuous random variables-PDF-CDF, Binomial, Poisson and Normal distributions.

12 Hrs.

UNIT-IV Sampling Distribution: Sampling, Sampling distribution, standard error, Null and alternative

hypotheses, Type I error and Type II errors, testing of hypothesis for means, level of significance

for means, Confidence limits for means, large and small samples, Student‘s t-distribution.

Central limit theorem (without proof) Joint Probability Distribution and Markov Chains:

Concept of joint probability , Joint distributions -discrete random variables, Continuous random

variables, independent random variables, Markov chains, higher transition probabilities,

stationary distributions of regular Markov chains and absorbing states.

12 Hrs.

Total: 52 Hrs.

23

Course Outcomes:




Text Books:

1. B.S.Grewal, “Higher Engineering Mathematics”, Khanna Publishers, New Delhi. 2. Seymour Lipschutz, “Theory Band Problems Of Probability” John Wiley & Sons. 3. H. K. Das, “Advanced Engineering Mathematics” S. Chand & Co.

4. E. Kreyszig, “Advanced Engineering Mathematics” John Wiley & Sons. 5. Roy. D. Yates and David J Goodman, “Probability And Stochastic Processes”, Wiley India

Pvt.Ltd, 2nd

Edition 2012. 6. Dennis. G. Zill and Patrick D. Shanahan, “A First Course In Complex Analysis With

Applications” Jones and Bartlett Publishers, Inc 2nd

Edition 2010.

24

UEI451C: DIGITAL DESIGN USING HDL

3 Credits (3-0-0)

Course Objectives:

1. To appreciate the importance of HDLs in digital designs.

2. To understand the lexical conventions of HDL at dataflow; structural and behavioral

levels.

3. To model combinational and sequential circuits at dataflow, behavioral and structural

level.

4. To understand design of some basic digital circuits.

UNIT-I

Introduction: Need for HDL, Structure of HDL module, Operators, Data types, Simulation and

synthesis of HDL, Comparison of VHDL and Verilog. Dataflow Description: Structure of data

flow description, Data type vectors.

10 Hrs.

UNIT-II Behavioral Description: Structure of HDL behavioral description, The VHDL variable

assignment statements, Sequential statements. Structural Description: Organization of

structural description. Procedures, Tasks and Functions: Highlights of procedure and

functions. Procedure (VHDL) and tasks (Verilog), Functions.

10 Hrs.

UNIT-III Design of Networks for Arithmetic Operations: Design of serial adder with accumulator, State

graphs for control networks, Design of binary multiplier, Multiplication of signed binary

numbers, Design of binary divider.

10 Hrs.

UNIT-IV Digital Design with SM Chart: State machine charts, Derivation of SM charts, Implementation of the dice game, VHDL models for memories and buses: Static RAM, A simplified 486-bus model, Interfacing memory to a microprocessor bus.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to demonstrate the basic knowledge of HDL

Demonstrate the ability to apply HDL in modeling combinational and sequential circuits

and

to write HDL programs

Ability to design and simulate digital circuit.

25

Text Books:

1. Nazeih M. Botros, "HDL Programming", 2006 Edition, Dreamtech Press.

2. Charles H Roth Jr, "Digital System Design Using VHDL", Thomson Learning Inc, 2002.

Reference Books:

1. Samir Palnitkar, "Verilog HDL", Pearson Education.

2. Douglas Perry, "VHDL", Tata McGraw Hill.

3. J. Bhaskar , "A Verilog HDL Primer", BS Publications.

4. Volnei A. Pedroni, "Circuit Design with VHDL", PHI.

26

UEI452C: DATA ACQUISITION AND CONVERTERS

4 Credits (4-0-0)

Course Objectives:

1. To learn the working principles of analog and digital DAS.

2. To learn the different converter specifications.

3. To learn different types of data converter techniques and their industrial applications.

UNIT-I

Data Acquisition: Introduction, objectives of DAS, components of an analog DAS, components

of digital DAS, modern digital DAS-transducer, amplifier, filter, non-linear analog function,

classification-single channel, multi-channel, computer based DAS, basic operation of data

logger, Uses of DAS, Data Transmission and Telemetry: Introduction, method of data

transmission, general telemetry system, types of telemetry system, Land line system- voltage

telemetry, current telemetry, position telemetry, RF telemetry- FM telemetry system, pulse

amplitude modulation telemetry, pulse code modulation telemetry.

13 Hrs.

UNIT-II Data Converter: Introduction, Generalized block diagram of ADCs and DACs, Analog

switches, Analog multiplexers (high & low level), Sample and hold circuits and its

specifications. Converter Specification: General specifications- Accuracy, Error, Linearity,

Common mode rejection, Monotonicity, Code elongation/code skipping ,Glitches, deglitchers,

high frequency roll-off, resolution, conversion time, conversion speed, cross talk, quantization

error, Dynamic ADC specifications.

13 Hrs.

UNIT-III Analog to Digital Converters: Classification, Successive approximation,Single slope, dual

slope, Voltage to Frequency, Voltage to time(Pulse width type), Counter ramp type, Flash type

ADCs, microprocessor compatible ADC: ADC 0816 IC, ICL 7109 Monolithic ADCs, concepts

of Delta sigma converters, Selection criteria for ADC, Typical application of ADC in electronic

weighing system, data readout, digital micrometer, function generator.

13 Hrs.

UNIT-IV Digital to Analog Converters: Classification, R-2R and ladder network, Weighted register DACs and inverter ladder DACs, Monolithic DACs, current DACs, Multiplying DACs, discussions on DAC 0808, DAC 0800, AD 7542 Monolithic DACs, Typical application of DACs in dot matrix display, frequency synthesizer, signal generator, programmable gain amplifier.

13 Hrs.

Total: 52 Hrs.

27

Course Outcomes:

Ability to work with analog and digital DAS

Familiarization with different converter specifications

Ability to differentiate data converter techniques

Ability to use converters for practical applications.

Text Books:

1. Hnatek, “Handbook of A/D and D/A Converters”, John Wiley Publications.

2. Sawhney. A. K., “Electric and Electronic Measurement and Instrumentation”, Dhanpat Rai & Sons Publications, New Delhi 2003.

3. J.K. Khalsi, “Electronic Instrumentation”, 2nd

Edition, Tata McGraw Hill, 2004.

Reference Books:

1. John D. Lenk, “Simplified Design of Data Converters”, EDN series (Butterworth Heinemann) 1997.

2. Behzad Razavi, “Principles of Data Conversion System Design”, IEEE Press 1995.

3. Franco Maloberti, “Data Converters”, Springer Publication,2007.

28

UEI453C: SIGNALS AND SYSTEMS

4 Credits (3-2-0)

Course Objectives:

1. To introduce the significance of signals, systems, properties of various signals and

systems and processing in different application.

2. To discuss continuous and discrete time systems and the properties of LTI systems and

convolution.

3. To learn the properties and applications of Fourier and Z-Transforms.

UNIT-I

Introduction: Definition of signal and system, signals and systems in various disciplines of

engineering and science, classification of signals, elementary signals, basic operations on signals,

systems viewed as interconnections of operations, basic system properties: stability, memory,

causality, invertibility, time invariance and linearity.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-II Time-domain analysis of discrete-time LTI systems: The convolution sum, convolution sum

evaluation procedure, convolution properties, system interconnections. Time-domain analysis

of continuous-time LTI systems: The convolution integral, convolution integral evaluation

procedure, convolution properties, system interconnections.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-III Fourier series representations: Complex sinusoids and frequency response of LTI systems,

discrete-time periodic signals: Discrete-Time Fourier Series (DTFS), Properties of DTFS,

continuous-time periodic signals: Fourier Series (FS). Fourier transforms representations:

Discrete-time aperiodic signals: The Discrete-Time Fourier Transform (DTFT), properties of

DTFT, continuous-time aperiodic signals: Fourier Transform (FT), properties of FT.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-IV Time-domain representation of LTI systems: Linear constant-coefficient differential equation,

linear constant-coefficient difference equation, solving differential and difference equations,

characteristics of systems described by the above equations, block diagram representations of

systems described by the above equations. The z-transform: The z-transform, properties of z-

transform, the inverse z-transform, the transform function, the unilateral z-transform, solution of

difference equations with initial conditions.

10Hrs.

Tutorial: 06 Hrs.


24 Hrs. Tutorial

29

Course Outcomes:

Ability to understand various types of signals and systems

Ability to understand impulse response of a system, convolution sums, signal

decomposition (Both continuous time and discrete time)

Ability to analyze various signals, their properties and basics of signal processing.

Text Books:

1. Simon Haykin, Barry van Veen, “Signals and Systems”, John Wiley & Sons (Asia) Pvt. Ltd, 2

nd Edition, 2004

Reference Books:

1. A.V. Oppenheim, A.S. Willsky, S.H. Nawab, “Signals and Systems”, 2nd Edition, 2006.

2. R.E. Ziemer, W.H. Tranter, D.R. Fannin, “Signals and Systems”, Pearson Education, 2nd

Edition, 2002.

30

UEI454C: LINEAR ICs AND APPLICATIONS

4 Credits (4-0-0)

Course Objectives:

1. To understand the concepts of Op-Amps.

2. To learn the design of different Op-Amp circuits for various applications.

3. To study the concept of 555 timer, PLL and its applications.

UNIT-I

Introduction to Op-Amps: Block Diagram representation, Fundamentals, Parameters

(definitions), Typical data sheet, Ideal Op-Amp. Direct coupled amplifiers: Inverting, Non-

inverting, Difference amplifier - Voltage gain, Input and output resistance, Bandwidth.

Instrumentation amplifiers. Capacitor coupled (AC) amplifiers: Basic voltage follower, High

input impedance voltage follower, Non-inverting amplifiers, High input impedance non-

inverting Amplifiers, Inverting amplifiers.

13 Hrs.

UNIT-II Op-Amps as AC Amplifiers: Setting the upper cut-off frequency, Capacitor coupled difference

amplifier, Use of a single polarity power supply. Op-Amps frequency response and

compensation: Circuit stability, Frequency and phase response, Frequency compensating

methods, Band width, Slew rate effects, Zin Mod compensation, Circuit stability precautions.

Active filters: Butterworth HPF and LPF- first, second order design, design examples. Precision

rectifiers: half wave and full wave.

13 Hrs.

UNIT-III Op-Amp applications: Clamping and clipping, Sample and hold amplifiers, Log and antilog

amplifiers, Integrator and differentiator, Monostable and astable multivibrator, Schmitt trigger,

Zero crossing detectors (ZCD). Phase locked loop: PSD, VCO, PLL, PLL applications.

13 Hrs.

UNIT-IV Signal converters: I/V, V/I, V/F, F/V converters. Op-Amp in waveform generation:

Square/triangular waveform generator, Phase shift oscillators, Wein bridge oscillators. Voltage

regulators: IC 217/317 regulator. IC 555 timer: Basic circuit, Design of astable, monostable

multivibrator and Schmitt trigger.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand the basics and design of operational amplifier and applications

involving different mathematical operations

Ability to apply this knowledge to build the electronic system.

31

Text Books:

1. Ramakant Gayakwad, “Operational Amplifiers”, 2005, PHI.

2. David A. Bell, “Linear ICs and Applications”, 2007, PHI [Only for AC Amplifiers, Frequency response/compensation and Precision rectifiers].

Reference Books:

1. K.V. Ramanan, “Functional Electronics”, 2002, TMG. 2. Sergio Franco, “Design with OPAMPS and Analog ICs”, 3rd

Edition, 2005, TMH.

32

UEI455C: ELECTRONIC MEASUREMENT AND INSTRUMENTATION

4 Credits (4-0-0)

Course Objectives:

1. To impart the knowledge of units, dimensions and generalized measurement systems.

2. To learn various errors and characteristics of the measurement systems.

3. To learn various techniques available to measure R, L, C.

4. To understand the working of DVM, DMM, CRO, and spectrum analyzer.

UNIT-I Units and dimensions: Introduction, unit, absolute unit, fundamental and derived units, dimensions, dimensions of mechanical quantities, dimension equations: dimensions in electrostatic systems, dimensions of electromagnetic systems, problems. Measurement of resistance: DC bridges: measurement of medium resistance: Wheatstone bridge, sensitivity of Wheatstone bridge, limitation of Wheatstone bridge, measurement of low resistances: Kelvin‘s double bridge, Measurement of earth resistance: fall of potential method, Problems on bridges.

13 Hrs.

UNIT-II AC bridges: Sources and detectors, general equation for bridge balance. Measurement of self inductance: Maxwell‘s inductance bridge, Maxwell‘s inductance-Capacitance bridge, Hays bridge, Anderson bridge, Owens bridge. Measurement of capacitance: De Sauty‘s bridge, Schering bridge, Wein bridge, problems on bridges. Analog voltmeters and multimeters: Introduction, multirange voltmeter, extending voltmeter ranges, Loading, True RMS voltmeters.

13 Hrs.

UNIT-III Digital Instruments: Digital Voltmeters – Introduction, DVMs based on V – T, V – F and Successive approximation principles, Resolution and sensitivity, General specifications, Digital Multi-meters, Digital frequency meters, Digital measurement of time. Oscilloscopes: Introduction, Basic principles, CRT features, Block diagram and working, Typical CRT connections, Dual beam and dual trace CROs, Measurement of phase angle and frequency.

13 Hrs.

UNIT-IV DC potentiometer: Principle and standardization, calibration of DC ammeter, voltmeter,

wattmeter. Signal Generators: Introduction, Fixed and variable AF oscillator, Standard signal

generator, Laboratory type signal generator, AF sine and Square wave generator, Function

generator, Square and Pulse generator, Sweep frequency generator, Frequency synthesizer.

Display devices: Digital display system, classification of display, Display devices, LEDs, LCD

displays.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand units, dimensions, basic principle and working of electrical and

electronic measuring instruments

Ability to use measuring techniques and instruments in real time applications.

33

Text Books:

1. H. S. Kalsi, “Electronic Instrumentation”, TMH, 2004.

2. David A Bell, “Electronic Instrumentation and Measurements”, PHI / Pearson Education.

Reference Books:

1. John P. Bentley, “Principles Of Measurement Systems”, 3rd Edition, Pearson Education,

2000. 2. Cooper D & A. D. Helfrick, “Modern Electronic Instrumentation & Measuring

Techniques”, PHI/Pearson Education, 1998.

3. J. B. Gupta, “Electronic and Electrical Measurements and Instrumentation”, S. K. Kataria & Sons, Delhi.

4. A. K. Sawhney, “Electronics and Electrical Measurements”, Dhanpat Rai & Sons, 9th

Edition.

34

UEI456L: LINEAR ICs AND DATA CONVERTERS LABORATORY

1 Credit (0-0-2)

Course Objectives:

1. To study the characteristics of Op-Amp. 2. To conduct experiments on realization and operation of basic filters. 3. To realize ADC and DAC.


1. Measurement of Op-Amp parameters: CMRR, bias current, offset voltage.

2. Design of Inverting & non inverting amplifier for desired gain.

3. Design of differential amplifier.

4. Design of Instrumentation amplifier using 741 IC.

5. Design of low-pass and high-pass filters (Butter worth I & II order).

6. Design of integrator and differentiator.

7. Design and implementation of Wein bridge oscillator. 8. Design and implementation of astable multivibrator using 555 timer. 9. Analog multiplexer and programmable gain amplifier-using analog multiplexer.

10. Sample and hold circuit. 11. 4 Bit Binary weighted and R-2R DAC (using discrete components). 12. 8 Bit DAC using IC DAC 0800. 13. 8 Bit ADC using IC ADC 0809.

Course Outcomes:

Ability to understand the characteristics and applications of Op-Amp

Ability to realize 8-bit ADC and DAC

Ability to demonstrate acquired knowledge in technical projects.

35

UEI457L: MEASUREMENT LABORATORY

1 Credit (0-0-2)

Course Objectives:

1. To understand the fundamental concepts, working principles of various electronic

instruments such as Wheatstone, Kelvin double bridges and potentiometers.


1. Resistance measurement using Wheatstone bridge.

2. Low resistance measurement using Kelvin double

bridge.

3. Capacitance measurement using Schering capacitance

bridge.

4. Inductance measurement using Maxwell bridge.

5. Calibration of DC voltmeter using DC potentiometer.

6. Calibration of DC ammeter using DC potentiometer.

7. Calibration of DC wattmeter using DC potentiometer.

8. Capacitance measurement using Anderson bridge.

9. Measurement of frequency using Wein bridge.

10. Voltmeter design using FET circuit.

11. Phase and frequency measurement using CRO.

12. Study of digital storage oscilloscope (DSO).

13. Study of energy meter.

Course Outcomes:

Ability to use the electronic instruments such as Wheatstone, Kelvin double bridges

and potentiometers


36

UMA002M: ADVANCED MATHEMATICS-II

(4-0-0)

Course Objectives:

1. To gain the knowledge of solid geometry and vector differentiation.

2. To learn basics, properties and applications of Laplace transforms.

UNIT-I

Solid Geometry: Distance formula (without proof), Division formula, direction cosines and

direction ratios, planes and straight lines, angle between the planes

11 Hrs.

UNIT-II Vector Differentiation: Velocity, Acceleration of a particle moving on a space curves. Vector

point function. Directional derivative, Gradient, Curl and Divergence. Solenoidal and Irrotational

vectors-simple problems.

10 Hrs.

UNIT-III Laplace Transforms: Definition- Transform of elementary functions. Derivatives and integrals

of transforms-problems. Periodic functions. Inverse transforms- Properties, Solutions of linear

differential equations. Applications to Engineering problems.

19 Hrs.

Total: 40 Hrs.

Course Outcomes:




Text Books:


MISSION OF THE DEPARTMENT:

To achieve academic excellence.

To create research environment.

To interact with industry for mutual benefits.

To serve the community for the socio economic developments.

VISION OF THE DEPARTMENT: “To be a recognized leader in Instrumentation discipline by creating a good platform

of learning and research with commitments to the socio economic developments”

VISION OF THE INSTITUTE: “To be recognized as a premier technical institute committed to developing exemplary

professionals, offering research based innovative solutions and inspiring inventions

for holistic socio economic development”

MISSION OF THE INSTITUTE:

To pursue excellence through student centric dynamic teaching-learning

process, encouraging freedom of inquiry and openness to change.

To carry out innovative cutting edge research and transfer technology for

industrial and societal needs.

To imbibe moral and ethical values and develop compassionate, humane

professionals.

DEPARTMENT OF

ELECTRONICS &

INSTRUMENTATION

ENGINEERING

(E&IE)

BASAVESHWAR

ENGINEERING

COLLEGE

(BEC)

Department of Instrumentation Technology

(Department of Electronics and Instrumentation Engineering)

14%

14%

18%

24%

2%

4%

3%

10%

11%

Streamwise Distribution of IT(EIE) Program

Basic Science

Basic Engineering

Electronics

Instrumentation

Electrical

Computer Science

Humanities and Social

Science

Project + Seminar

Electives from Various

streams


B.E. (III SEMESTER) INSTRUMENTATION TECHNOLOGY (DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)

* An audit laboratory with title: Circuits Laboratory (UIT356A), only for students admitted to 3rd


* * Advanced Mathematics-I is a mandatory subject only for students admitted to 3rd



Semester through lateral entry (Diploma) scheme is 25 hours, total

CIE marks is 500, SEE marks is 500 and total marks is 1000

Sl. No

Subject Code Subject Credits Hours / Week Examination Marks


1 UMA301C Engineering Mathematics –III 04 4 0 0 50 50 100

2 UIT351C Analog Electronics 04 4 0 0 50 50 100

3 UIT352C Digital Electronics 03 3 0 0 50 50 100

4 UIT353C Sensors and Transducers 04 4 0 0 50 50 100

5 UIT354C Electrical Circuit Analysis 04 3 2 0 50 50 100

6 UHS355C Entrepreneurship Development 03 3 0 0 50 50 100

7 UIT356L* Basic Circuits Laboratory 01 0 0 2 50 50 100

8 UIT357L Digital Electronics Laboratory 01 0 0 2 50 50 100

9 UIT358L Instrumentation Laboratory 01 0 0 2 50 50 100

10 UMA001M**

Advanced Mathematics-I - 4 - - 50 50 100

Total 25 21***

02 06 450 450 900

2012-13 Batch

SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) INSTRUMENTATION TECHNOLOGY

(DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)

Sl. Subject Subject Credits Hours / Week Examination Marks

No Code Lecture Tutorial Practical CIE SEE Total

1 UMA401C Engineering Mathematics–IV 04 4 0 0 50 50 100

2 UIT451C Digital Design using HDL 03 3 0 0 50 50 100

3 UIT452C Data Acquisition and Converter 04 4 0 0 50 50 100

4 UIT453C Signals & Systems 04 3 2 0 50 50 100

5 UIT454C Linear ICs and Applications 04 4 0 0 50 50 100

6 UIT455C Electronic Measurement & Instrumentation 04 4 0 0 50 50 100

7 UIT456L Linear ICs & Data Converters Laboratory 01 0 0 2 50 50 100

8 UIT457L* Measurement Laboratory 01 0 0 2 50 50 100

9 UMA002M**

Advanced Mathematics-II - 4 - - 50 50 100

Total 25 22***

02 04 400 400 800 * An audit laboratory with title: Basic Measurement Laboratory (UIT457A), only for students admitted to 3

rd Semester through

lateral entry (Diploma) scheme. Passing the subjects is compulsory: however the marks will not be considered for awarding grade/class. A PP/NP grade will be awarded for passing/not passing the subject.

* * Advanced Mathematics-II is a mandatory subject only for students admitted to 3rd



Semester through lateral entry (Diploma) scheme is 25 hours, total CIE marks is

450, SEE marks is 450 and total marks is 900

2012-13 Batch


B.E. (V SEMESTER) INSTRUMENTATION TECHNOLOGY


Sl. Subject Code Subject Credits Hours / Week Examination Marks

No Lecture Tutorial Practical CIE SEE Total

1 UIT551C Microcontroller 04 4 0 0 50 50 100

2 UIT552C Digital Signal Processing 04 4 0 0 50 50 100

3 UIT553C Control Systems 04 4 0 0 50 50 100

4 UIT554C Biomedical Instrumentation 04 4 0 0 50 50 100

5 UIT555C C++ and Data Structures 04 4 0 0 50 50 100

6 UIT57XE Dept Elective – I# 03 3 0 0 50 50 100

7 UIT556L DSP Laboratory 1.5 0 0 3 50 50 100

8 UIT557L Microcontroller Laboratory 1.5 0 0 3 50 50 100

Total 26.0 23**

0 6 400 400 800

*Advanced Mathematics-II is a mandatory subject only for students having Diploma and admitted to 3rd

Semester through lateral entry scheme. Passing the subject is compulsory: however the marks will not be considered for awarding grade/class. A PP/NP

rade will be awarded for passing/not passing the subject.

# Electives offered by the departments and it is to be selected from the list of electives from Group - I

GROUP -I

Subject code Title Subject code Title

UIT571E Analytical Instrumentation UIT572E Operation Research

UIT573E Automotive Electronics UIT574E Industrial Electronics

2012-13 Batch


B.E. (VI SEMESTER) INSTRUMENTATION TECHNOLOGY




1 UIT651C Advanced Control Systems 04 4 0 0 50 50 100

2 UIT652C Process Control 04 4 0 0 50 50 100

3 UIT653C Communication Systems 04 4 0 0 50 50 100

4 UIT654C Virtual Instrumentation 04 3 2 0 50 50 100

5 UIT67XE Dept Elective-II* 03 3 0 0 50 50 100

6 UIT68XE Dept Elective-III** 03 3 0 0 50 50 100

7 UIT656L System Simulation & Analysis Laboratory 01 0 0 2 50 50 100

8 UIT657L Basic Process Control Laboratory 1.5 0 0 3 50 50 100

Total 24.5 21 2 05 400 400 800

* Electives offered by the departments and to be selected from the list of electives from Group - II

** Electives offered by the departments and to be selected from the list of electives from Group - III

GROUP –II


UIT671E MEMS UIT672E Robotics

UIT673E Low Power Microcontroller UIT674E Reliability Engineering

GROUP -III


UIT681E Artificial Intelligence UIT682E Biomedical Signal Processing

UIT683E Computer Communication Networks UIT684E Linear Algebra


B.E. (VII SEMESTER) INSTRUMENTATION TECHNOLOGY




1 UIT751C Process Automation 04 4 0 0 50 50 100

2 UIT752C Control System Components 03 3 0 0 50 50 100

3 UIT753C Neural Network & Fuzzy Logic 04 4 0 0 50 50 100

4 UHS754C Professional Communication and Technical 03 3 0 0 50 50 100

Writing

5 UITXXXE Dept Elective- IV* 03 3 0 0 50 50 100

6 UITXXXE Dept Elective -V** 03 3 0 0 50 50 100

7 UIT755L Process Instrumentation & Control Laboratory 1.5 3 0 3 50 50 100

8 UIT756P# Project Phase-I 04 0 0 4 50 50 100

Total 25.5 23 0 7 400 400 800

* Electives offered by the departments and to be selected from the list of electives from Group - IV

** Electives offered by the departments and to be selected from the list of electives from Group - V Group IV Subject code Title Subject code Title

UIT771E VLSI Design UIT772E Wireless Communication

UIT773E Medical Imaging Techniques UIT774E Operating Systems

Group V


UIT781E Embedded systems design UIT782E Renewable Energy

UIT783E Process Modeling and Simulation UIT784E DigitalImage Processing # Evaluation components: Project Title/Group formation, Literature survey (Considering at least 3 journal papers), synopsis, seminar related to theproject chosen at start, mid-semester and end semester. Evaluation components:

Sl.No. Evaluation Component Type of evaluation Marks

01 Synopsis presentation and mid semester seminar Internal 50

02 End semester seminar 50

2012-13 Batch


2012-13 Batch

B.E. (VIII SEMESTER) INSTRUMENTATION TECHNOLOGY




1 UIT851C Laser & Optical Instrumentation 04 4 0 0 50 50 100

2 UITXXXE Dept Elective- VI* 03 3 0 0 50 50 100

3 UITXXXE Dept Elective- VII** 03 3 -- 0 50 50 100

4 UIT852P# Project work 16 -- 16 100 100 200

Total 26.0 10 0 16 250 250 500

* Electives offered by the departments and to be selected from the list of electives from Group - VI

** Electives offered by the departments and to be selected from the list of electives from Group - VII Group VI


UIT871E C# Programming and .Net UIT872E ARM Processor

UIT873E Digital Control Systems UIT874E Optimization Techniques

Group VII


UIT881E DBMS UIT882E Aircraft Instrumentation

UIT883E Advanced Industrial Automation UIT884E Pattern Recognition # Evaluation components: Two seminars related to the project chosen (mid semester and end semester), midsemester evaluation (work progress), end semester presentation, project demonstration, viva voce. Evaluation components:

Sl.No. Evaluation Component Type of evaluation Marks

01 Seminar on the project Internal 50

02 Mid semester evaluation ( Assessment of work progress) 50

03 Presentation External 25

04 Demonstration 50

05 Viva Voce 25

DEPARTMENT OF INSTRUMENTATION TECHNOLOGY


GENERAL INSTRUCTIONS:

THEORY SUBJECT ASSESSMENT:

1. Each theory subject is evaluated for 100 marks giving equal weightage for CIE and SEE (50 CIE

and 50 SEE).

2. Three CIE each of 30 marks will be conducted at an interval of about one month. Each CIE

marks obtainedis scaled down to 15 marks and 5 marks for assignment: making total of 50.

3. SEE will be conducted for 100 marks and marks obtained are scaled down to 50 marks.

4. SEE question paper pattern:

Total of eight questions to be set uniformly covering the entire syllabus

Each question should not have more than 4 sub divisions

Any five full questions are to be answered choosing at least one from each unit.

LABORATORY ASSESSMENT:

1. Each laboratory subject is evaluated for 100 marks (50 CIE and 50 SEE).

2. Allocation of 50 marks for CIE:

Performance and journal write-up:

Marks for each experiment = 30 marks/No. of proposed experiments.

One practical test for 20 marks.( 5 write-up,10 conduction, calculation, results

etc., 5 viva-voce).

3. Allocation of 50 marks for SEE: 25% write-up, 50% conduction, calculation, results etc,. 25% viva-voce.

UMA301C ENGINEERING MATHEMATICS-III 4 Credits (4-0-0)

Course Objectives:

1. To learn numerical solutions of first and second order ODE, numerical differentiation and

integration.

2. To understand the concepts of a continuous and discrete integral transform in the form of

Fourier and Z-transforms.

3. To understand the concepts of partial difference equation and linear algebra.

UNIT-I Numerical Analysis: Roots of Equations: Motivation, Non computer methods for determiningroots, roots of Equations and Engineering Practice, Mathematical background, goals and objectives: Bracketing Methods, Graphical Methods. The Bisection Method, The Newton – Raphson Method, Pitfalls of the Newton – Raphson Method: Multiple roots, Modified Newton – Raphson Method for multiple roots. Finite differences, Forward and Backward difference operators (No derivation on relation between operators). Newton-Gregory Forward and Backward interpolation formulae (without proof). Lagrange‘s and Newton‘s divided difference interpolation formulae (without proof). Numerical differentiation using Newton‘s Forward and Backward formulae. Numerical Integration: Trapezoidal rule, Simpson‘s one third, Simpson‘s three eighth rule and Weddle‘s rule (no derivation of any formulae). Numerical solutions of first order ODE- Euler‘s and Modified Euler‘s Method, Runge Kutta 4

th order Method, Milne‘s Predictor and Corrector method (problems only).

13 Hrs.

UNIT-II Fourier Series, Fourier Transforms, Z-Transforms: Periodic functions, Conditions forFourier series

expansions, Fourier series expansions of continuous functions and functions having infinite number of

discontinuities, even and odd functions. Half-range series, Practical Harmonic Analysis. Infinite Fourier

transforms and inverse Fourier transforms- simple properties, Complex Fourier transforms, Fourier sine

and Fourier cosine transforms, Inverse Fourier sine and cosine transforms, Convolution Theorem.Z-

Transforms-definition, standard forms, linearity property, damping rule, shifting rule- problems.

13 Hrs.

UNIT-III Partial Differential Equations: Formation of partial differential equations by elimination ofarbitrary constants and arbitrary functions, Solutionof equation of the type : Pp Qq R, Charpit‘s Method, Solution of PDE by the method of separation of variables. Derivation of onedimensional heat and wave equations. Numerical solution (finite difference) of one-dimensional heat and wave equations by explicit method, Laplace equation by using standard five point formula.

13 Hrs.

UNIT-IV Linear Algebra: Rank of a matrix by elementary transformations, Consistency of system oflinear equations, Gauss-Seidel Method, Characteristic values and Characteristic Vectors of matrices (no theorems), Largest Eigen value and the corresponding Eigen Vector by Power Method. Calculus of Variations: Variation of a function and a functional, Extremal of a functional, Variational problems, Euler‘s equation, Standard variational problems including Geodesics, Minimal Surface of Revolution, Hanging Chain and Brachistochrone problems.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to use mathematical knowledge to analyze and solve the engineering problems



Text Books:

1. Steven C Chapra, Raymond P Canale, "Numerical Methods for Engineers".

2. Dr. B. S. Grewal, "Higher Engineering Mathematics", Khanna Publishers, New Delhi.

3. E. Kreyszig, "Advanced Engineering Mathematics", John Wiley &Sons.

4. Kreyszig, H. K. Dass, "Higher Engineering Mathematics", S. Chand & Co.

UIT351C: ANALOG ELECTRONICS

4 Credits (4-0-0)

Course Objectives:

1. To impart the knowledge of electronic devices, diodes and its applications.

2. To learn the techniques of transistor biasing, FET and BJT small signal analysis.

3. To apply the knowledge for the analysis and design of basic discrete or integrated electronic

circuits.

UNIT-I Semiconductor Diode: diode equivalent circuits, transition & diffusion capacitance, Reverse recovery time, clippers, clampers. Transistor Biasing: Operating point, fixed bias, emitter stabilized bias, DC bias with voltage feedback, miscellaneous bias configuration, design operations, bias stabilization.

13 Hrs.

UNIT-II

BJT Small Signal Analysis with re Transistor Model: Common emitter fixed bias configuration, CE-

emitter bias configuration, common base configuration and collector feedback configuration. Power

amplifiers: Definition and amplifier types, series fed class-A amplifier, transformer coupled class A

amplifier, class-B operation, amplifier distortion.

13 Hrs.

UNIT-III FET biasing: Fixed bias, self bias, voltage divider bias, depletion type MOSFETs, enhancement type

MOSFETs.FET Small Signal Analysis: FET small signal model, JFET fixed bias configuration, JFET

self bias configuration, JFET voltage divider bias configuration, JFET source follower configuration,

designing FET amplifier networks.

13 Hrs.

UNIT-IV Feedback Amplifiers: Feedback concepts, feedback connection types, feedback amplifiers.BJT Frequency Response: General frequency considerations, low frequency analysis, Miller effect capacitance. Other Two Terminal Devices: Introduction, Schottky barrier diodes, Varactor diodes, Power diodes, Tunnel diodes, Photodiodes.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand the operating principles of major electronic devices

Ability to connect the operating principles to the physical operation of devices

Ability to apply the knowledge to the analysis and design of basic discrete electronic circuits.

Text Books:

1. Robert L. Boylestad, Nashelsky, "Electronic Devices and Circuit Theory", PHI, 9th

Edition, 2005.

2. David A. Bell,"Electronic Devices and Circuits", PHI, 4th

Edition, 2004.

Reference Books:

1. Jacob Milman, Christos C. Halkias, “Integrated Electronics”, TMG, 1991 Edition.

2. A.P.Malvino, “Electronic Principles”, TMH, 1993.

3. Jacob Millman, Arvin Grabel, “Microelectronics”, McGraw Hill, 1996.

UIT352C: DIGITAL ELECTRONICS

3 Credits (3-0-0)

Course Objectives:

1. To understand the principles of combinational logic circuits.

2. To develop an ability to conduct experiments and analyze digital electronic circuits.

3. To design different combinational circuits like comparator, adders and code converters.

4. To understand the working of latches, flip-flops and shift registers and different types of

sequential circuits.

UNIT-I Principles of Combinational Logic: Definition of combinational logic, Canonical forms, Generation of switching equations from truth tables, Karnaugh maps-3, 4 and 5 variables, Incompletely specified functions (Don‘t Care terms), Simplifying Max term equations. Quine-McCluskey minimization technique- Quine-McCluskey using don‘t care terms, Reduced Prime Implicant Tables, Map entered variables.

10 Hrs.

UNIT-II Analysis and Design of Combinational Logic: General approach, Decoders-BCD decoders, Encoders.

Digital multiplexers: Boolean function implementation. Adders and subtractors - Cascading full adders,

Look ahead carry, Binary comparators. Introduction to Sequential Circuits: Basic Bistable Element,

Latches, SR Latch, Application of SR Latch, A Switch Debouncer, The SR Latch, The gated SR Latch,

The gated D Latch

10 Hrs.

UNIT-III Sequential Circuits: The Master-Slave Flip-Flops (Pulse-Triggered Flip-Flops): SR, JK. Edge

Triggered Flip-Flop: The Positive Edge-Triggered D Flip-Flop, Negative-Edge Triggered D Flip-Flop.

Characteristic Equations, Registers, Counters - Binary Ripple Counters, Synchronous Binary counters,

Counters based on Shift Registers, Design of a Synchronous counters, Design of a Synchronous Mod-6

Counter using clocked JK Flip-Flops Design of a Synchronous Mod-6 Counter using clocked D, T, and

SR Flip-Flops.

10 Hrs.

UNIT-IV Sequential Circuits: Introduction, Mealy and Moore Models, State Machine Notation,Synchronous

Sequential Circuit Analysis. Sequential Design: Construction of state diagrams, Design examples:

Counter design.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to design combinational logic and sequential logic

Ability to analyze some of the basic digital systems and synchronous machines.

Text Books:

1. John M Yarbrough, "Digital Logic Applications and Design", Thomson Learning, 2001 (For unit I,

II and IV).

2. Donald D. Givone, "Digital Principles and Design", Tata McGraw Hill, Edition 2002 (For unit III).

Reference Books:

1. Charles H. Roth Jr, "Fundamentals of Logic Design", Thomson Learning, 2004.

2. Mono and Kim, "Logic and Computer Design Fundamentals", Pearson, 2nd

Edition, 2001.

3. Rajshekhar Allurkar, "Logic Design", CBS Publishers, 2008.

UIT353C: SENSORS AND TRANSDUCERS

4 Credits (4-0-0)

Course Objectives:

1. To impart the fundamental concepts, working principles and applications of various sensors and

transducers for measuring important physical parameters.

2. To develop an ability to use sensor and transducer for practical applications.

UNIT-I Introduction to Sensor-Based Measurement Systems: General concepts and terminology,Sensor classification, General input-output configuration, Static characteristics of measurement systems, Dynamic characteristics, Other sensor characteristics, Materials for sensors, Introduction to microsensor technology.Resistive type: Potentiometers, Strain gages, Resistive temperature detectors (RTD), Thermistors.

13 Hrs.

UNIT-II Resistive Type: Magnetoresistors, Light-dependent resistors (LDR),Resistive hygrometers,

Resistive gas sensors, Liquid conductivity sensors. Self-Generating Sensors: Thermoelectric sensors:

Thermocouples, Piezoelectric sensors, Pyroelectric sensors, Photo voltaic sensors, Electrochemical

sensors.

13 Hrs.

UNIT-III Reactance Variation and Electromagnetic Type: Capacitive sensors, Inductive sensors,

Electromagnetic sensors.

13Hrs.

UNIT-IV Digital and Intelligent Sensors: Position encoders, Resonant sensors, Intelligent sensors. Other

sensing methods: Based on semiconductor junctions, Based on MOSFET transistors, Fiber

opticsensors, Ultrasonic based sensors, Biosensors.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to learn basics of instrumentation devices and systems

Ability to analyze the use of sensor and transducer for some of the applications.

Text Book:

1. Ramon P. Areny, John G. Webster, "Sensors and Signal Conditioning", 2nd

Edition, Wiley India

Private Ltd.

Reference Books:

1. Ian R Sinclair, "Sensors and Transducers", 3rd

Edition, Newnes Publication.

2. D. Patranabis, "Sensors and Transducers", 2nd

Edition, PHI.

3. Allan S. Morris, "Measurement and Instrumentation Principles", 3rd

Edition, Butterworth &

Heinmann Publication.

4. John Bentley, "Principles of Measurement Systems", 3rd

Edition, 2004, Pearson Publication.

IT354C: ELECTRICAL CIRCUIT ANALYSIS

4 Credits (3-2-0)

Course Objectives:

1. To impart knowledge on nodal and mesh analysis.

2. To analyze networks using different theorems and transient behavior of networks.

3. To apply electrical circuit techniques to find response using Laplace transformation.

UNIT-I The circuit concept and the most basic tools of circuit analysis (applied to DC and AC circuits): Voltage and current sources, Kirchhoff’s voltage and current laws, Series and parallel combinations of sources, Series and parallel combinations of elements, Voltage and current division, Source transformations, Delta-Y conversions, Sinusoidal steady state-state analysis, Nodal and mesh analysis.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-II Network Theorems (applied to DC and AC circuits): Superposition theorem, Thevenin’s theorem,

Norton’s theorem, Maximum power transform theorem. Transient Behavior and Initial Conditions in

Networks: Initial and final conditions in elements, Geometrical interpretation of derivatives, A

procedure for evaluating initial conditions.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-III Circuit Analysis with Laplace Transformations: Introduction of LT and ILT, s-domain impedance

and admittance, The s-domain models for initially charged capacitor and initially fluxed inductor,

Determination of the complete s-domain model for a given circuit, Application of various circuit

analysis methods to s-domain circuit models, Application of LT methods to obtain the complete

solutions for first-order and second order circuits. Resonance: The resonance effect, Series resonance,

Parallel resonance, Bandwidth and selectivity of resonant circuit, Q factor of resonant circuit.

10Hrs.

Tutorial: 06 Hrs.

UNIT-IV Network topology: Network and network graph, Incidence matrix, Properties of incidence matrix, Tree

of network variables, Tie set and Tie set schedule, Cut set and Cut set schedule, Formulation and

solution of network equations using Tie set schedule and Cut set schedule. Two port network

parameters: Relationship of two-port variables, Short circuit admittance parameters, Open-circuit

impedance parameters, Transmission parameters, hybrid parameters, Relationship between

parametersets.

10 Hrs.

Tutorial: 06 Hrs.


24 Hrs. Tutorial

Course Outcomes:

Ability to understand the basic concepts, mesh current analysis, node voltage analysis and

Laplace transform

Ability to apply these methods to solve network problems.

Text Books:

1. M.E. Van Valkenburg, "Network Analysis", PHI, 3rd

Edition, 2002.

2. William D. Stanley, "Network Analysis with Applications", Pearson Education,4th

Edition, 2004.

Reference Books:

1. . H. Hayt, J. E. Kemmerly and S. M. Durbin, "Engineering Circuit Analysis", TMH, 6th

Edition, 2006.

2. Roy Choudhary, "Networks &Systems",New Age International Publishers.

UHS355C: ENTREPRENEURSHIP DEVELOPMENT

3 Credits (3-0-0)

Course Objectives:

1. To learn the fundamental functions and characteristics of entrepreneurs.

2. To inculcate ability to communicate and work in multidisciplinary teams.

3. To acquire skills to conceive, design, implement, and operate systems in an enterprise and

societal context.

4. To facilitate decision making process for setting up new enterprise and profitable operation of

the enterprise.

UNIT-I Entrepreneur: Meaning of entrepreneur, Evolution of the concept, Functions of an entrepreneur, Characteristics of an entrepreneur, Competencies of an entrepreneur, Types of entrepreneur, Intrapreneur – an emerging class. Entrepreneurship: Evolution of entrepreneurship, Development of entrepreneurship, Stages in entrepreneurial process, Role of entrepreneurs in economic development, Entrepreneurship in India, Barriers of entrepreneurship. Womenentrepreneurship: Definition, Environment, Challenges in the path of women entrepreneurship, Strategies for the development of Women entrepreneurs, Self-help groups.

10 Hrs.

UNIT-II Small Scale Industries: Definition, Characteristics, Need and rationale, Objectives, Scope, Role of SSI

in economic development, Advantages of SSI, Steps to start an SSI, Various government policy towards

SSI, Different policies of SSI, Government support for SSI during 5 year plans, Impact of liberalization,

privatization, globalization on SSI, Effect of WTO/GATT, Supporting agencies of government for SSI:

Meaning, Nature of support, Types of help, Ancillary industry and Tiny industry (Definition Only).

10 Hrs.

UNIT-III Institutional Support: TECKSOK, KIADB, KSSIDC, KSIMC, DIC Single window agency,

SISI(MSME-DI), NSIC, SIDBI, KSFC, Institutions supporting women entrepreneurship in India.

10 Hrs.

UNIT-IV Preparation of Project: Meaning of project, Project identification, Project selection, Project report,

Need and significance of report, Contents, Formulation, Guidelines by planning commission of India for

project report, Network analysis, Errors of project report, Project appraisal. Identification of business

opportunities: Business opportunity in various sectors, Formalities for setting up of a small business

enterprise (In brief with flow chart), Market feasibility study, Technical feasibility study, Financial

feasibility study, Social feasibility study. The E–commerce: Benefits of selling on the web, Factors to

be considered in launching, Myths of E-commerce, Approaches to E-commerce, Strategies for E-

success.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability tounderstand the meaning, need and importance of entrepreneurship

Awareness about state and central government agencies/organizations which support the SSI

Ability to prepare business report

Capability to start own enterprise and possible contribution to the society.

Text Books:

1. Poornima M.Charantimath, “Entrepreneurship Development - Small Business Enterprises”,

Pearson Education, 2006.

2. Vasant Desai, “Dynamics of Entrepreneurial Development &Management”, Himalaya Publishing

House.

3. Thomas W. Zimmerer, Norman M. Scarborough, “Essentials of Entrepreneurship &Small Business

Management”, 4th

Edition, Pearson Education.

Reference Books:

1. Ramesh Burbere, “Management &Entrepreneurship”, Rohan Publishers.

2. Edward de Bono, “Six Thinking Hats”, Back Bay Books - Little, Brown and Company.

UIT356L: BASIC CIRCUIT LABORATORY

(UIT356A: CIRCUITS LABORATORY)

1 Credit (0-0-2)

Course Objectives:

1. To conduct experiments on rectifiers, clipping and clamping circuits.

2. To design and understand the working of Darlington emitter follower.

3. To understand the usage of transistors in amplifier circuits.

4. To verify network theorems (resistive networks).


1. Study of basic instruments.

2. Characteristic of Diode.

3. Characteristic of Transistor.

4. Characteristic of FET.

5. Rectifiers: Half, full, bridge, with and without filters.

6. Clipping circuits.

7. Clamping circuits.

8. Darlington Emitter follower.

9. Frequency response of RC coupled amplifier.

10. Verification of Thevenin’s & Norton’s theorem. 11. Verification of Maximum power transfer & superposition theorem.

12. Frequency response of series and parallel resonance circuit.

Course Outcomes:

Ability to conduct experiments on rectifiers, clipping and clamping circuits

Ability to design and test Darlington emitter follower

Ability to design and test amplifiers

Ability to verify and use network theorems.

UIT357L: DIGITAL ELECTRONICS LABORATORY

1 Credit (0-0-2)

Course Objectives:

1. To experience the operation of various logic gates and digital circuits.

2. To understand the design of combinational logic and sequential circuits.

3. To conduct experiment to verify various combinational circuits, FFs, shift registers and counters.


1. Simplification, realization of Boolean expressions using logic gates/universal gates.

2. Realization of Half/Full adder and Half/Full Subtractors using logic gates.

3. Realization of Binary to Gray code conversion, BCD to Excess-3 and vice versa.

4. Realization of parallel adder/Subtractors, Code converter (BCD to Excess-3) using 7483 chip.

5. MUX/DEMUX – use of 74153, 74139 for arithmetic circuits and code converter.

6. Realization of One/Two bit comparator and study of 7485 magnitude comparator.

7. Use of: a) Decoder chip to drive LED display b) Priority encoder.

8. Truth table verification of Flip-Flops: (i) JK Master slave (ii) T type and (iii) D type.

9. Realization of 3 bit counters as a sequential circuit and MOD – N counter design (7476, 7490,

74192, 74193).

10. Shift register(74LS95).

Course Outcomes:

Ability to realize Boolean expression using basic gates and universal gates

Ability to realize binary adder/subtractor circuits using gates/ICs

Ability to design and analyze the comparator, multiplexers, decoders, encoders circuits using ICs

Ability to design and analyze different shift registers and counters using gates and FFs

Ability to demonstrate the digital logic designs in technical projects.

UIT358L: INSTRUMENTATION LABORATORY

1 Credit (0-0-2)

Course Objectives:

1. To impart with fundamental concepts, working principles and applications of various transducers

for measuring temperature, displacement, strain and flow.

2. To analyze the sensor and transducer characteristics practically.

3. To promote the usage of various sensors and transducers in variety of applications.


1. Transfer characteristics of Thermocouple.

2. Transfer characteristics of RTD.

3. Transfer characteristics of LVDT.

4. Transfer characteristics of Thermistor.

5. Transfer characteristics of LDR.

6. Transfer characteristics of Resistive displacement (linear & angular) transducer.

7. Transfer characteristics of AD590.

8. Relay switching.

9. Study of I/P and P/I converter.

10. Transfer characteristic of Level transmitter.

11. Calibration of pressure gauge.

12. Transfer characteristic of Load cell (Full bridge strain gauge arrangement).

13. Study of reluctance type Proximity switch.

Course Outcomes:

Ability to learn basics of instrumentation devices and systems practically

Ability to use various sensors and transducers in real time applications.

UMA001M: ADVANCED MATHEMATICS-I

(4-0-0)

Course Objectives:

1. To learn to solve differential calculus and integrals.

2. To learn higher order differential equations.

UNIT-I

Differential Calculus: Geometrical interpretation of differentiation. Determination of nth

derivative

of standard functions. Leibnitz‘s theorem (without proof) and problems. Polar curves and angle between polar curves. Pedal equation of polar curves. Taylor‘s series, Maclaurin‘s series for single variable. Partial derivatives, Euler‘s theorem. Total differentiation. Differentiation of composite and

implicit functions. Jacobian‘s and their properties. 18 Hrs.

UNIT-II

Integral Calculus: Reduction formula for functions Sinnx, Cos

nx, tan

nx, Sin

mx Cos

mx. and evaluation

of these integrals with standard limits-problems. Double and Triple integrals simple problems (with

standard limits). Beta and Gamma functions, properties, relation between Beta and Gamma functions

simple problems.

11 Hrs.

UNIT-III Higher Order Differential Equations: Differential equations of second and higher orders with

constant coefficients. Method of undetermined coefficients, Variation of parameters and Cauchy‘s homogeneous linear equations.

11 Hrs.

Total: 40 Hrs.

Course Outcomes:




.

Text Books:


UMA401C: ENGINEERING MATHEMATICS –IV

4 Credits (4-0-0)

Course Objectives:

1. Learn to solve complex integrals and analytical functions.

2. Learn fitting of a curve, correlation, regression for a statistical data.

3. Learn the basic concepts of statistics, probability and random variables.

4. Learn the concepts of probability distributions.

5. Learn the concepts of stochastic process and Markov chain.

UNIT-I Complex Analysis: Analytic functions, Cauchy-Riemann equations in Cartesian and polarforms-consequences, construction of analytic function (Cartesian and polar forms). Definition of Conformal

transformations:z2, e

z, z

2 where z0, Bilinear transformations.Complex Integration: Line integral,

Cauchy‘s theorem-Corollaries, Cauchy‘s integral formula. Taylor andLaurent‘s series (statements only), Singularities, poles, calculations of residues, Residue theorem (without proof)-problems.

14 Hrs.

UNIT-II Special Functions: Seriessolution of Bessel‘s differential equation, recurrence formulae,generating function, orthogonal property, Bessel‘s integral formula. Series solution of Legendre‘s differential equation recurrence formulae, generating function, orthogonal property, Rodrigue‘s formula. 14 Hrs. UNIT-III

Statistics and Probability: Curve fitting by the method of least squares: y a bx, y abx,

y a

bx cx2.correlation and regression. Probability addition rule, conditional probability,

multiplicationrule, Baye‘s rule. Discrete and continuous random variables-PDF-CDF, Binomial, Poisson and Normal distributions.

12 Hrs.

UNIT-IV Sampling Distribution: Sampling, Sampling distribution, standard error, Null and

alternativehypotheses, Type I error and Type II errors, testing of hypothesis for means, level of

significance for means, Confidence limits for means, large and small samples, Student‘s t-distribution.

Central limit theorem (without proof) Joint Probability Distribution and Markov Chains: Concept of

joint probability , Joint distributions -discrete random variables, Continuous random variables,

independent random variables, Markov chains, higher transition probabilities, stationary distributions

of regular Markov chains and absorbing states.

12 Hrs.

Total: 52 Hrs.

Course Outcomes:




Text Books:

1. B.S.Grewal, “Higher Engineering Mathematics”, Khanna Publishers, New Delhi.

2. Seymour Lipschutz, “Theory Band Problems Of Probability” John Wiley & Sons.

3. H. K. Das, “Advanced Engineering Mathematics” S. Chand & Co.

4. E. Kreyszig, “Advanced Engineering Mathematics” John Wiley & Sons.

5. Roy. D. Yates and David J Goodman, “Probability And Stochastic Processes”, Wiley India Pvt.Ltd, 2

nd Edition 2012.

6. Dennis. G. Zill and Patrick D. Shanahan, “A First Course In Complex Analysis With Applications” Jones and Bartlett Publishers, Inc 2

nd Edition 2010.

UIT451C: DIGITAL DESIGN USING HDL

3 Credits (3-0-0)

Course Objectives:

1. To appreciate the importance of HDLs in digital designs.

2. To understand the lexical conventions of HDL at dataflow; structural and behavioral levels.

3. To model combinational and sequential circuits at dataflow, behavioral and structural level.

4. To interpret HDL constructs for logic synthesis.

5. To discriminate between manual and automated logic synthesis and their impact on design.

UNIT-I Introduction: Need for HDL, Structure of HDL module, operators, data types, Simulation andsynthesis

HDL, comparison of VHDL and Verilog. Dataflow Description: Structure of data flow description,

Data type vectors.

10 Hrs.

UNIT-II Behavioral Description: Structure of HDL behavioral description, The VHDL variableassignment

statements, sequential statements. Structural Description: Organization of structural description.

Procedures, Tasks and Functions: Highlights of procedure and functions. Procedure(VHDL) and tasks

(Verilog), functions.

10 Hrs.

UNIT-III Design of Networks for Arithmetic Operations: Design of serial adder with accumulator, Stategraphs

for control networks, design of binary multiplier, Multiplication of signed binary numbers, Design of

binary divider.

10 Hrs.

UNIT-IV Digital Design with SM chart: State machine charts, derivation of SM charts, implementation of the dice game, alternative. VHDL Models for Memories and Buses: Static RAM, A simplified 486-bus model, interfacing memory to a microprocessor bus.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to demonstrate the basic knowledge of HDL

Demonstrate the ability to apply HDL in modeling combinational and sequential circuits and

to write HDL programs

Ability to design and simulate digital circuit.

Text Books:

1. Nazeih M. Botros, "HDL Programming", 2006 Edition, Dreamtech Press.

2. Charles H Roth Jr, "Digital System Design Using VHDL", Thomson LearningInc, 2002.

Reference Books:

1. Samir Palnitkar, "Verilog HDL", Pearson Education.

2. Douglas Perry, "VHDL", Tata McGrawHill.

3. J.Bhaskar , "A Verilog HDL Primer", BS Publications.

4. Volnei A.Pedroni, "Circuit Design with VHDL", PHI.

UIT452C: DATA ACQUISITION AND CONVERTERS

4 Credits (4-0-0)

Course Objectives:

1. To learn the working principles of analog and digital DAS.

2. To learn the different converter specifications.

3. To learn different types of data converter techniques and their industrial applications.

UNIT-I Data Acquisition: Introduction, objectives of DAS, components of an analog DAS, components of

digital DAS, modern digital DAS-transducer, amplifier, filter, non-linear analog function, classification-

single channel, multi-channel, computer based DAS, basic operation of data logger, Uses of DAS, Data

Transmission and Telemetry: Introduction, method of data transmission, general telemetry system,

types of telemetry system, Land line system- voltage telemetry, current telemetry, position telemetry, RF

telemetry- FM telemetry system, pulse amplitude modulation telemetry, pulse code modulation

telemetry.

13 Hrs.

UNIT-II Data Converter: Introduction, Generalized block diagram of ADCs and DACs, Analog switches,

Analog multiplexers (high & low level), Sample and hold circuits and its specifications. Converter

Specification: General specifications- Accuracy, Error, Linearity, Common mode rejection,

Monotonicity, Code elongation/code skipping ,Glitches, deglitchers, high frequency roll-off, resolution,

conversion time, conversion speed, cross talk, quantization error, Dynamic ADC specifications.

13 Hrs.

UNIT-III Analog to Digital Converters: Classification, Successive approximation, Single slope, dual slope,

Voltage to Frequency, Voltage to time(Pulse width type), Counter ramp type, Flash type ADCs,

microprocessor compatible ADC: ADC 0816 IC, ICL7109 Monolithic ADCs, concepts of Delta sigma

converters, Selection criteria for ADC, Typical application of ADC in electronic weighing system, data

readout, digital micrometer, function generator.

13 Hrs.

UNIT-IV Digital to Analog Converters: Classification, R-2R and ladder network, Weighted register DACs and inverter ladder DACs, Monolithic DACs, current DACs, Multiplying DACs, discussions on DAC 0808, DAC 0800, AD 7542 Monolithic DACs, Typical application of DACs in dot matrix display, frequency synthesizer, signal generator, programmable gain amplifier.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to work with analog and digital DAS

Familiarization with different converter specifications

Ability to differentiate data converter techniques

Ability to use converters for practical applications.

Text Books:

1. Hnatek, “Handbook of A/D and D/A Converters”, John Wiley Publications.

2. Sawhney. A. K.,“Electric and Electronic Measurement and Instrumentation”, Dhanpat Rai &Sons Publications, New Delhi 2003.

3. J.K. Khalsi, “Electronic Instrumentation”, 2nd


Reference Books:

1. John D. Lenk, “Simplified Design of Data Converters”, EDNseries (Butterworth Heinemann) 1997.

2. Behzad Razavi, “Principles of Data Conversion System Design”, IEEE Press 1995.

3. Franco Maloberti,“Data Converters”, Springer Publication,2007.

UIT453C: SIGNALS AND SYSTEMS

4 Credits (3-2-0)

Course Objectives:

1. To introduce the significance of signals, systems, properties of various signals and systems and

processing in different application.

2. To discuss continuous and discrete time systems and the properties of LTI systems and

convolution.

3. To learn the properties and applications of Fourier and Z-Transforms.

UNIT-I Introduction: Definition of signal and system, signals and systems in various disciplines ofengineering

and science, classification of signals, elementary signals, basic operations on signals, systems viewed as

interconnections of operations, basic system properties: stability, memory, causality, invertibility, time

invariance and linearity.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-II Time-domain Analysis of Discrete-Time LTI Systems: The convolution sum, convolution sum

evaluation procedure, convolution properties, system interconnections. Time-domain Analysis of

Continuous-Time LTI Systems: The convolution integral, convolution integral evaluation procedure,

convolution properties, system interconnections.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-III Fourier Series Representations: Complex sinusoids and frequency response of LTI systems, discrete-

time periodic signals: Discrete-Time Fourier Series (DTFS), Properties of DTFS, continuous-time

periodic signals: Fourier Series (FS). Fourier Transforms Representations: Discrete-time aperiodic

signals: The Discrete-Time Fourier Transform (DTFT), properties of DTFT, continuous-time aperiodic

signals: Fourier Transform (FT), properties of FT.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-IV Time-domain Representation of LTI Systems: Linear constant-coefficient differential equation, linear

constant-coefficient difference equation, solving differential and difference equations, characteristics of

systems described by the above equations, block diagram representations of systems described by the

above equations. The z-transform: The z-transform, properties of z-transform, the inverse z-transform,

the transform function, the unilateral z-transform, solution of difference equations with initial

conditions.

10Hrs.

Tutorial: 06 Hrs.


24 Hrs. Tutorial

Course Outcomes:

Ability to understand various types of signals and systems

Ability to understand impulse response of a system, convolution sums, signal decomposition

(Both continuous time and discrete time)

Ability to analyze various signals, their properties and basics of signal processing.

Text Books:

1. Simon Haykin, Barry van Veen, “Signals and Systems”, John Wiley &Sons (Asia) Pvt. Ltd,

2nd

Edition, 2004

Reference Books:

1. A.V. Oppenheim, A.S. Willsky, S.H. Nawab, “Signals and Systems”, 2ndEdition, 2006.

2. R.E. Ziemer, W.H. Tranter, D.R. Fannin, “Signals and Systems”, Pearson Education, 2nd

Edition,

2002.

UIT454C: LINEAR ICs AND APPLICATIONS

4 Credits (4-0-0)

Course Objectives:

1. To understand the concepts of Op-Amps.

2. To learn the design of different Op-Amp circuits forvarious applications.

3. To study the concept of 555 timer, PLL and its applications.

UNIT-I Introduction to Op-Amps: Block Diagram representation, Fundamentals, Parameters (definitions),

Typical data sheet, Ideal Op-Amp. Direct Coupled Amplifiers: Inverting, Non-inverting, Difference

amplifier - Voltage gain, Input and output resistance, Bandwidth. Instrumentation amplifiers. Capacitor

Coupled (AC) Amplifiers: Basic voltage follower, High input impedance voltage follower, Non-

inverting amplifiers, High input impedance non-inverting Amplifiers, Inverting amplifiers.

13 Hrs.

UNIT-II Op-Amps as AC Amplifiers: Setting the upper cut-off frequency, Capacitor coupled difference

amplifier, Use of a single polarity power supply. Op-Amps Frequency Response and Compensation:

Circuit stability, Frequency and phase response, Frequency compensating methods, Band width, Slew

rate effects, Zin Mod compensation, Circuit stability precautions. Active Filters: Butterworth HPF and

LPF- first, second order design, design examples. Precision Rectifiers: half wave and full wave.

13 Hrs.

UNIT-III Op-Amp Applications: Clamping and clipping, Sample and hold amplifiers, Log and antilog

amplifiers, Integratorand differentiator, Monostable and astable multivibrator, Schmitt trigger, Zero

crossing detectors (ZCD). Phase Locked Loop: PSD, VCO, PLL, PLL applications.

13 Hrs.

UNIT-IV Signal Converters: I/V, V/I, V/F, F/V converters. Op-Amp in Waveform Generation:

Square/triangular waveform generator, Phase shift oscillators, Wein bridge oscillators. Voltage

regulators: IC 217/317 regulator. IC 555 timer: Basic circuit, Design of astable, monostable

multivibrator and Schmitt trigger.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand the basics and design of operational amplifier and applications involving

different mathematical operations

Ability to apply this knowledge to build the electronic system.

Text Books:

1. Ramakant Gayakwad, “Operational Amplifiers”, 2005, PHI.

2. David A.Bell, “Linear ICs andApplications”, 2007, PHI [Only for AC Amplifiers, Frequency

response/compensation and Precision rectifiers].

Reference Books:

1. K.V.Ramanan, “Functional Electronics”, 2002, TMG.

2. Sergio Franco, “Design with OPAMPS and Analog ICs”, 3rd Edition, 2005, TMH.

UIT 455C: ELECTRONIC MEASUREMENT AND INSTRUMENTATION

4 Credits (4-0-0)

Course Objectives:

1. To impart the knowledge of units, dimensions and generalized measurement systems.

2. To learn various errors and characteristics of the measurement systems.

3. To learn various techniques available to measure R, L, C.

4. To understand the working of DVM, DMM, CRO, and spectrum analyzer.

UNIT-I Units and Dimensions: Introduction, unit, absolute unit, fundamental and derived units, dimensions, dimensions of mechanical quantities, dimension equations: dimensions in electrostatic systems, dimensions of electromagnetic systems, problems. Measurement of Resistance: DC bridges: measurement of medium resistance: Wheatstone bridge, sensitivity of Wheatstone bridge, limitation of Wheatstone bridge, measurement of low resistances: Kelvin‘s double bridge, Measurement of earth resistance: fall of potential method, Problems on bridges.

13 Hrs.

UNIT-II AC Bridges: Sources and detectors, general equation for bridge balance. Measurement of Self Inductance: Maxwell‘s inductance bridge, Maxwell‘s inductance-Capacitance bridge, Hays bridge, Anderson bridge, Owens bridge. Measurement of Capacitance: De Sauty‘s bridge, Schering bridge, Wein bridge, problems on bridges. Analog Voltmeters and Multimeters: Introduction, multirange voltmeter, extending voltmeter ranges, Loading, True RMS voltmeters.

13 Hrs.

UNIT-III Digital Instruments: Digital Voltmeters– Introduction, DVMs based on V – T, V – F and Successive approximation principles, Resolution and sensitivity, General specifications, Digital Multi-meters, Digital frequency meters, Digital measurement of time. Oscilloscopes: Introduction, Basic principles, CRT features, Block diagram and working, Typical CRT connections, Dual beam and dual trace CROs, Measurement of phase angle and frequency.

13 Hrs.

UNIT-IV DC Potentiometer: Principle and standardization, calibration of DC ammeter, voltmeter, wattmeter.

Signal Generators: Introduction, Fixed and variable AF oscillator, Standard signal generator,

Laboratory type signal generator, AF sine and Square wave generator, Function generator, Square and

Pulse generator, Sweep frequency generator, Frequency synthesizer. Display Devices: Digital display

system, classification of display, Display devices, LEDs, LCDdisplays.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand units, dimensions, basic principle and working of electrical and electronic

measuring instruments

Ability to use measuring techniques and instruments in real time applications.

Text Books:

1. H. S. Kalsi, “Electronic Instrumentation”, TMH, 2004.

2. David A Bell, “Electronic Instrumentation and Measurements”, PHI / Pearson Education.

Reference Books:

1. John P. Bentley, “Principles Of Measurement Systems”, 3rdEdition, Pearson Education, 2000.

2. Cooper D &A. D. Helfrick, “Modern Electronic Instrumentation &Measuring Techniques”,

PHI/Pearson Education, 1998.

3. J. B. Gupta, “Electronic and Electrical Measurements and Instrumentation”, S. K. Kataria & Sons, Delhi.

4. A. K. Sawhney, “Electronics and Electrical Measurements”, Dhanpat Rai &Sons, 9th

Edition.

UIT456L: LINEAR ICs AND DATA CONVERTERS LABORATORY

1Credit (0-0-2)

Course Objectives:

1. To study the characteristics of Op-Amp. 2. To conduct experiments on realization and operation of basic filters. 3. To realize ADC and DAC.


1. Measurement of Op-Amp parameters: CMRR, bias current, offset voltage.

2. Design of Inverting & non inverting amplifier for desired gain.

3. Design of differential amplifier.

4. Design of Instrumentation amplifier using 741 IC.

5. Design of low-pass and high-pass filters (Butter worth I & II order).

6. Design of integrator and differentiator.

7. Design and implementation of Wein bridge oscillator. 8. Design and implementation of astable multivibrator using 555 timer. 9. Analog multiplexer and programmable gain amplifier-using analog multiplexer.

10. Sample and hold circuit. 11. 4 Bit Binary weighted and R-2R DAC (using discrete components). 12. 8 Bit DAC using IC DAC 0800. 13. 8 Bit ADC using IC ADC 0809.

Course Outcomes:

Ability to understand the characteristics and applications of Op-Amp

Ability to realize 8-bit ADC and DAC


UIT457L: MEASUREMENT LABORATORY

1Credit (0-0-2)

Course Objectives:

1. To understand the fundamental concepts, working principles of various electronic instruments

such as Wheatstone, Kelvin double bridges and potentiometers.


1. Resistance measurement using Wheatstone bridge.

2. Low resistance measurement using Kelvin double bridge.

3. Capacitance measurement using Schering capacitance bridge.

4. Inductance measurement using Maxwell bridge.

5. Calibration of DC voltmeter using DC potentiometer.

6. Calibration of DC ammeter using DC potentiometer.

7. Calibration of DC wattmeter using DC potentiometer.

8. Capacitance measurement using Anderson bridge.

9. Measurement of frequency using Wein bridge.

10. Voltmeter design using FET circuit.

11. Phase and frequency measurement using CRO.

12. Study of digital storage oscilloscope (DSO).

13. Study of energy meter.

Course Outcomes:

Ability to use the electronic instruments such as Wheatstone, Kelvin double bridges

andpotentiometers


UMA002M: ADVANCED MATHEMATICS-II

(4-0-0)

Course Objectives:

1. To gain the knowledge of solid geometry and vector differentiation.

2. To learn basics, properties and applications of Laplace transforms.

UNIT-I Solid Geometry: Distance formula (without proof), Division formula, direction cosines and direction

ratios, planes and straightlines, angle between the planes

11Hrs.

UNIT-II Vector Differentiation:Velocity, Acceleration of a particle moving on a space curves. Vector point

function. Directional derivative,Gradient, Curl and Divergence. Solenoidal and Irrotational vectors-

simple problems.

10 Hrs.

UNIT-III Laplace Transforms: Definition- Transform of elementary functions. Derivatives and integrals of

transforms-problems. Periodicfunctions. Inverse transforms- Properties, Solutions of linear differential

equations. Applications toEngineering problems.

19 Hrs.

Total: 40 Hrs.

Course Outcomes:




Text Books:


UIT551C: MICROCONTROLLER

4 Credits (4-0-0)

Course Objectives:

1. To understand the architecture and instruction set of 8051 microcontroller.

2. To understand assembly language programming.

3. To impart knowledge of interfacing peripherals using C.

UNIT-I

8051 Architecture: Features of 8051 microcontroller, Internal block diagram, Oscillator and clock,

Accumulator, Data pointer, Program counter, Program status word, Stack pointer, Special function

registers, Timer/ counter, I/O ports, Memory organization, Interrupts, Serial data communication.

Addressing modes: Immediate and register addressing modes, Accessing memory using various

addressing modes, Bit addresses for I/O and RAM.

13 Hrs.

UNIT-II

Instruction Set and Programming: Data transfer, Arithmetic, Logic and compare instructions, Control

transfer instructions, Miscellaneous instructions of 8051 microcontroller and assembly programs.8051

Programming in C: Data types and time delay in 8051 C, I/O programming in C, Logical operations in

C, Data conversion programs in C, Accessing code ROM space in 8051 C, Data serialization using 8051

C.

13 Hrs.

UNIT-III

8051 Timer Programming in Assembly and C: Programming 8051 timers, Counter programming,

Programming timer0 and timer1 in 8051 C. Interrupts Programming in Assembly and C: 8051

interrupts, Programming timer interrupts, Programming external hardware interrupts, Programming

serial communication interrupt, Interrupt priority in 8051, Interrupt programming in 8051 C. 8051

Serial Port Programming in Assembly and C: Basics of serial communication, 8051 connection to

RS232, 8051 serial port programming in assembly, Serial port programming in 8051 C.

13 Hrs.

UNIT-IV

Interfacing Peripherals with 8051 Microcontroller: Keyboard interfacing, LED interfacing, Seven

segment LED interfacing, LCD interfacing, Parallel and serial ADC, DAC, Stepper motor interfacing,

DC motor interfacing and PWM (programs for interfacing peripherals in assembly and C language).

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand the basic concepts of 8051 microcontroller

Ability to write microcontroller programs using assembly and C

Ability to interface microcontroller system to external devices exploring C

Ability to use microcontrollers in project work.

Text Books:

1. Kenneth J. Ayala, “8051 Microcontroller: Architecture, Programming and Applications”, 3

rdEdition, Thomson publication.

2. V. Udayashankara, M.S.Mallikarjunaswamy, “8051 Microcontroller: Hardware, Software and

Applications”, McGraw Hill, New Delhi. 3. Muhammad Ali Mazidi, Janice Gillespie Mazidi, Rolin D McKinlay, “The 8051 Microcontroller

and Embedded Systems: using Assembly & C”, 2ndEdition.

Reference Books:

1. Dr. D.S. Suresh Kumar, “8051 Microcontroller”, 1stEdition, SK Publishers.

UIT552C: DIGITAL SIGNAL PROCESSING

4 Credits (4-0-0)

Course Objectives:

1. Ability to analyze and process signals for different kinds of applications.

2. To acquire basic understanding of DFT and spectral analysis.

3. To understand the filter design techniques.

UNIT-I

Introduction: Digital signal processing and its benefits, sampling, aliasing, sampling theorem,

frequency-domain representation of sampling, reconstruction of a band limited signal from its samples,

correlation and its properties. The Discrete Fourier Transform (DFT): DFT, IDFT, DFT as a linear

transformation, relationship of the DFT to other transforms, properties of DFT, circular convolution, use

of DFT in linear filtering, overlap-add and overlap-save method.

13 Hrs.

UNIT-II

Efficient Computation of the DFT: Introduction, radix-2 FFT algorithm, Radix-2 inverse FFT,

decimation-in-time FFT algorithm, decimation-in-frequency FFT algorithm, general computational

considerations in FFT algorithms, chirp z-transform algorithm, Goertzel algorithm.

13 Hrs.

UNIT-III

Design of Infinite Impulse-response (IIR) Digital Filters: Characteristics of commonly used analog

filters-Butterworth and Chebyshev filters, design of digital IIR filters from analog Butterworth and

Chebyshev filters, impulse-invariant transformation method, and approximation derivative(backward

difference, forward difference and bilinear transformation) method.

13 Hrs.

UNIT-IV

Design of Finite Impulse-Response (FIR) Digital Filters: Some common window functions, the

Gibbs phenomenon, spectral leakage, design of FIR filters using windows and frequency sampling

method. Realization of IIR and FIR systems: Structure for IIR systems: direct-form, cascade-form,

parallel-form, and ladder. Structure for FIR and linear phase FIR systems: direct-form, cascade-form,

introduction to DSP Processor.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to compute DFT efficiently

Ability to design digital filters

Ability to realize digital systems.

Text Books:

1. John G. Proakis, Dimitris G. Manolakis, “Digital Signal Processing”, 4thEdition,Pearson Education,

2007.

2. Johnny R. Johnson, “Introduction to Digital Signal Processing”, PHI Pvt. Ltd., 2000.

Reference Books:

1. Alan V. Oppenheim, Ronald W. Schafer, and John R. Buck, “Discrete-Time Signal Processing”, 2nd

Edition., Pearson Education, 2008.

2. Ashok Ambardar, “Digital Signal Processing: A Modern Introduction”, Indian Edition, Thomson

Learning, 2007.

UIT553C: CONTROL SYSTEMS

4 Credits (4-0-0)

Course Objectives:

1. To learn fundamental concepts of control systems, mathematical modeling of the system and

time response of 1st and 2

ndorder system.

2. To understand the concepts of frequency response of the LTI system.

3. To learn the basic concept of stability analysis of the systems.

UNIT-I

Introduction: Objective of control system, Importance of control system, Examples of control system,

Types of control systems, Open-loop and closed loop control systems, Feed-back and its effects on

system performance characteristics. Modeling of Physical Systems: Models of mechanical systems,

Electrical systems, and Electromechanical systems, Analogous systems: Force-voltage analogy, Force-

current analogy.

13 Hrs.

UNIT-II

Block Diagrams and Signal Flow Graphs: Transfer function; Block diagram reduction, Signal flow

graphs, Mason’s gain formula, and Application of Mason’s gain formula to block diagrams. Time

Response of Feedback Control Systems: Standard test signals, Type and order of system, Steady state

error and error constants, Unit-step response of first and second order systems, Time domain

specifications.

13 Hrs.

UNIT-III

Stability Analysis: The concept of stability, BIBO stability, Zero-input and asymptotic stability, Routh-

Hurwitz (R-H) stability criterion, Application. Root-Locus Analysis: The concept of root locus and

Complementary root locus, Basic properties of root locus, Construction of root locus.

13 Hrs.

UNIT-IV

Frequency Domain Analysis: The concept of frequency response, Polar plots, Procedure for

constructing polar plots, Bode plots, procedure for constructing Bode plots, Gain margin, Phase margin,

Frequency domain specifications, Nyquist stability criterion and examples.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to model electrical and mechanical systems

Ability to find the stability of thesystems using various methods

Ability to analyze a given system for stability.

Text Books:

1. I. J. Nagarath and M Gopal, “Control Systems Engineering”, New Age International (P) Ltd., 1999.

Reference Books:

1. B. C. Kuo, “Automatic Control Systems”, 7th Edition, PHI, 2002.

2. R. S. Allurkar, “Control Systems”, EBPB, 2004.

UIT554C: BIOMEDICAL INSTRUMENTATION

4 Credits (4-0-0)

Course Objectives:

1. To understand the generalized structure of biomedical instrumentation and to study the origin of

bio-potentials.

2. To analyze the working principles of electrodes,bioamplifiers and their applications in

biomedical engineering concepts.

3. To understandvarious bio-medical instruments.

4. To understand the basic concepts of biosensors and their importance.

UNIT-I Fundamentals of Bio-signals: Sources, basic instrumentation system, general constraints in design of

biomedical instrumentation systems, origin of bioelectric signals, types of bioelectric signals – ECG,

EEG, EMG, EOG, ERG. Electrocardiograph: Electrical activity of the heart, characteristics of

electrocardiogram (ECG), block diagram description of an electrocardiograph, RL driven circuit and

transformer coupled isolation ECG preamplifier circuit, ECG lead system and multi-channel ECG

machine. Electroencephalograph: Block diagram description of an electroencephalograph, 10-20

electrode systems and unipolar, bipolar and average electrode configurations, computerized analysis of

EEG.

13 Hrs.

UNIT-II Patient Monitoring System: Bedside patient monitoring system, measurement of heart rate: Average

heart rate meter, instantaneous heart rate meter (cardio tachometer) and measurement of pulse rate.

Blood Pressure Measurement: Direct and indirect method, automatic blood pressure measurement

using Korotkoff’s method, Rheographic method, oscillometric method, ultrasonic Doppler shift method,

Measurement of Respiration Rate: Thermistor method, impedance pnuemography, CO2 method,

apnoea detectors.

13 Hrs.

UNIT-III Blood Flow Meters: Ultrasonic blood flow meters, NMR blood flow meters, Cardiac Pacemakers:

Need for cardiac pacemaker, external pacemaker, implantable pacemaker, programmable pacemaker,

rate responsive pacemakers. Defibrillators: AC and DC defibrillators. Pulmonary Function Analyzer:

Pulmonary function measurement, spirometry, pneumotachometer, measurement of volume by nitrogen

washout technique. Patient Safety: Electric shock hazards, leakage currents.

13 Hrs.

UNIT-IV Biosensors: Origin, evolution and characteristics of Biosensor, bio receptor molecules, transduction

mechanisms in biosensor. Biosensors types: electrochemical sensors, chemical fibro sensors (optical

biosensor), biosensors for personal diabetes management: blood-glucose sensors, ion-selective FETs,

noninvasive methods for blood gas monitoring: transcutaneous oxygen gas monitoring system.

Applications of Biosensors: application of biosensors to environmental samples, health care.

Introduction to biochips.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Acquired knowledge ofvarious basic medical equipment

Ability to take up innovative projects in medical field.

Text Books:

1. R. S. Khandpur, “Hand book of Biomedical Instrumentation”, 2nd Edition, TMH, 2012.

2. J. G. Webster, “Medical Instrumentation, Application & Design”, 3rdEdition, John Wiley, 1998.

Reference Books:

1. John. S. Wilson, “Sensor Technology Handbook”, New Elsevier publication,2004.

2. Lesely Cromwell, “Principles of Applied Biomedical Instrumentation”, John Wiley, 2004.

UIT555C: C++ & DATA STRUCTURES

4 Credits (4-0-0)

Course Objectives:

1. To understand the concept of OOPs and the difference between OOPs and procedural languages.

2. To gain knowledge of developing programs using object oriented concepts.

3. To understand the basic concepts of data structures and algorithms.

4. To implement various data structures and algorithms using C++.

UNIT-I Introduction: Object oriented programming, characteristics of object orient languages, C++ and C.

C++ Programming Basics: Basic programming construction, Cin and Cout statements, preprocessor

directives, comments, integer variables, character variables, floating point types, type Bool, the setw

manipulator, type conversion, arithmetic operators. Loops and Decisions: Relational operators, for-

loop, while loop, do-while loop, if statement, if-else statement, else-if statement, switch statement,

conditional operator, logical operators, precedence summary. Structures: A simple structure, defining a

structure, defining structure variables, accessing structure members, other structure features, enumerated

data type.

13 Hrs.

UNIT-II Functions: Simple functions, passing arguments to functions, returning values from functions,

overloaded functions. Objects and Classes: A simple class, C++ objects as physical objects, C++

objects as data types, constructors, destructors, objects as function arguments, the defaults copy

constructor, returning objects from functions.

13 Hrs.

UNIT-III Operator Overloading: Overloading unary operators, overloading binary operators, data conversions.

Inheritance: Derived class and base class, derived class constructors, overriding member functions,

class hierarchies, public and private inheritance, levels of inheritance, multiple inheritances.

13 Hrs.

UNIT-IV Data Structures: Linear Lists: Data objects and structures, linear List data structures, array

representation, Arrays and Matrices: Arrays, matrices, special Matrices Stacks: Definition and

application, The abstract data type Queues: Definition and application, The abstract data type, Array

representation. Binary and other trees: Trees, binary Trees, properties of binary trees. Priority

Queues: Definition and application, the abstract data type, linear lists, heaps.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Proficiency in using the basic constructs of C++ to develop computer programs

Ability to design and develop programs based on the concepts of class and objects

Ability to design and develop programs based on the concepts of operator overloading, friend

functions and the concepts of polymorphism and inheritance

Ability to employ a brief knowledge of various data structures when constructing a program.

Text Books:

1. Robert Lafore, “Object Oriented Programming in Turbo C++”, Galgotia Publishing. 2. E.Balaguruswamy, “Object Oriented Programming with C++”, Tata McGraw Hill. 3. Sartaj Sahni, “Data Structures, Algorithms and Applications in C++”, Tata McGraw Hill.

Reference Books:

1. Herbert Schildt, “C++ The Complete Reference”, Tata McGraw Hill. 2. D.S. Malik, “Data Structures using C++”, Thomson, 2003.

UIT571E:ANALYTICAL INSTRUMENTATION

3 Credits (3-0-0)

Course Objectives:

1. To understand modern analytical instruments for analysis of samples.

2. To learn the various analytical techniques such as spectrography, chromatography and X-ray

techniques.

UNIT-I Introduction: Analytical methods, Electromagnetic Spectrum: Properties of electromagnetic radiation

and interaction with matter. Molecular Spectroscopy: Measurement of transmittance and absorbance,

Beer Lambert's law. UV-Visible Absorption Spectrometry: Radiation sources, detectors, wavelength

selectors, single and double beam absorption instruments, application for qualitative and quantitative

analysis.

10 Hrs.

UNIT-II IR Absorption Spectrometry: Basic components of IR instruments, Non-dispersive spectrometers.

Mass Spectroscopy: Features of mass spectroscopy, components of spectrometers: ion sources, sample

inlet systems, mass analyzers – magnetic (sector) analyzer, quadrupole analyzer and time of flight

(TOF) analyzer, applications.

10 Hrs.

UNIT-III Atomic Spectroscopy: Principles of AAS, AES and AFS, sample atomization techniques, atomic

absorption instrumentation, applications. X-ray Techniques: Introduction, principles, sources,

detectors, instrumentation, X-ray absorption method - Absorptiometer, X-ray fluorescence method –

Energy dispersive type, X-ray diffraction – powder diffraction method and applications.

10 Hrs.

UNIT-IV Chromatography: Classification, gas chromatography: principles, GLC instrumentation, Liquid

chromatography: Scope and HPLC instrumentation, applications. NMR Spectroscopy: Principles of

NMR spectroscopy, Different types of NMR instruments: FT – NMR, Carbon-13 NMR, application for

quantitative analysis.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to understand various instrumental method of analysis

Ability to use analytical instruments for quantitative and qualitative analysis.

Text Books:

1. Douglas A., Skoog, James Holler, Stanley R. Crounch, “Instrumental Analysis”, 2007, Cengage

Learning Publication.

2. Willard, Merritt, Dean, Settle, “Instrumental Methods of Analysis”, 7th

Edition, CBS

Publication,1986.

Reference Books:

1. R.S. Khandpur, “Hand Book of Analytical Instrumentation”, TMH, 1989.

UIT572E: OPERATION RESEARCH

3 Credits (3-0-0)

Course Objectives:

1. To understand fundamentals of operation research, linear programming problems.

2. To learn graphical solution, simplex method, big M method, duality principles.

3. To understand various types of transportation and assignment problems.

4. To learn replacement of machines at suitable time, queuing model.

5. To learn network analysis(PERT/CPM).

6. To solve games theory, graphical method and dominance rule.

7. To understand integer programming.

UNIT-I

Introduction: Linear programming, definition, scope of operations research (O.R) approach and

limitations of OR models, characteristics and phases of OR, mathematical formulation of L.P. problems,

graphical solution methods. Linear Programming Problems: The simplex method - slack, surplus and

artificial variables,concept of duality, two phase method, dual simplex method.

10 Hrs.

UNIT-II Transportation Problem: Formulation of transportation model, basic feasible solution using different

methods, optimality methods, unbalanced transportation problem, degeneracy in transportation

problems, applications of transportation problems. Assignment Problem: Formulation, unbalanced

assignment problem, traveling salesman problem.

10 Hrs.

UNIT-III Sequencing: Johnson’s algorithm, n - jobs to 2 machines, n jobs 3machines, n jobs m machines without

passing sequence. 2 jobs n machines with passing, graphical solutions priority rules. PERT-CPM

Techniques: Network construction, determining critical path, floats, scheduling by network, project

duration, variance under probabilistic models, prediction of date of completion.

10 Hrs.

UNIT-IV Game Theory: Formulation of games, two person-zero sum game, games with and without saddle

point, graphical solution (2 x n, m x 2 game), dominance property. Integer Programming: Gommory’s technique, branch and bound algorithm for integer programming problems, zero one algorithm.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to formulate and solve problem using graphical/simplex/big M method

Ability to use theduality property

Ability to solve transportation and assignment problem

Ability to find the best time to replace the old machine

Ability to use queuing theory application, network analysis, crashing

Ability to solve game theory problem using graphical and dominance rule.

Text Books:

1. Taha H. A., “Operations Research and Introduction”, Pearson, 2012.

2. S. D. Sharma, “Operations Research: Theory and Applications”, 4th

Edition, Kedarnath Ramnath &

Co., 2009.

Reference Books:

1. A.M. Natarajan, P. Balasubramani, A Tamilaravari,“Operation Research”, Pearson, 2005.

2. Hiller and Liberman, “Introduction to Operation Research”, MGH, 5th

Edition, 2001.

3. Phillips & Solberg, Ravindran, “Operations Research: Principles and Practice”, Wiley India Ltd.,

2nd

Edition, 2007.

4. Prem Kumar Gupta, D.S. Hira, “Operations Research”, S. Chand Publication, New Delhi, 2007.

UIT573E: AUTOMOTIVE ELECTRONICS

3 Credits (3-0-0)

Course Objectives:

1. To understand electrical and electronic system used in automotive vehicles.

2. To learn the basic concepts of sensors and actuators, generators, vehicle lighting system and

accessories, fuel injection and ignition systems.

3. To understand the digital engine controls and safety issues in vehicles.

4. To encourage students to take up projects in the field of autotronics.

UNIT-I Starting System: Condition at starting, Behavior of starter during starting and its characteristics,

Principle and construction of starter motor, Working of different starter drive units, Care and

maintenance of starter motor, Starter switches, Three point starter-basic constructions and working

principle. Generator: Main construction features, Armature winding, Commutator, Basic principle of a

D.C. generator, Slip-ring commutation, Operating characteristic and application of D.C. generators,

Armature reaction, Total loss in D.C. generator, Working principle of D.C. motor, Types of D.C. motor

and it’s characteristics, Speed control of D.C motor.

10 Hrs.

UNIT-II Lighting System &Accessories: Insulated & earth return systems, Positive and negative earth systems,

Details of head light and side light, Headlight dazzling and preventive methods, Electrical fuel-pump,

Speedometer, Fuel, oil and temperature gauges, Horn, Wiper system, Trafficator.Automotive

Electronics: Current trends in modern automobiles, Open and close loop systems, Components for

electronic engine management, Electronic management of chassis system, Vehicle motion control.

Sensors and Actuators for Automobiles: Basic sensor arrangement, Types of sensors such as-Oxygen

sensors, Crank angle position sensors-Fuel metering/vehicle speed sensor and detonation sensor-

Altitude sensor, Flow sensor, Throttle position sensors.

10 Hrs.

UNIT-III Electronic Fuel Injection and Ignition Systems: Introduction, Feedback carburetor systems, Throttle

body injection and multi port or point fuel injection, Fuel injection systems, Injection system controls,

Advantages of electronic ignition systems, Types of solid-state ignition systems and their principle of

operation, Contactless electronic ignition system, Electronic spark timing control. Electronic

Dashboard Instruments: Onboard diagnosis system, Security and warning system.

10 Hrs.

UNIT-IV Digital Engine Control System: Open loop and closed loop control systems, Engine cranking and

warm up control, Acceleration enrichment, Deceleration leaning and idle speed control, Distributor less

ignition, Integrated engine control systems, exhaust emission control engineering. Chassis and Safety

Systems: Traction control system, Cruise control system, Electronic control of automatic transmission,

Antilock braking system, Electronic suspension system, Working of airbag and role of MEMS in airbag

systems, Centralized door locking system, Climate control of cars.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to use electrical and electronic system for automotive vehicles

Ability to apply knowledge of various sensors and actuators, generators, lighting system and

accessories, fuel injection and ignition systems.

Ability to take up inter-disciplinary projects in the field of autotronics.

Text Books:

1. Judge A.W," Modern Electrical Equipment of Automobiles", Chapman & Hall, London, 1992.

2. Young A. P, Griffiths L, “Automobile Electrical Equipment”, ELBS & New Press, 1999.

Reference Books:

1. Tom Denton, “Automobile Electrical and Electronics Systems”, Edward Arnold Publishers, 2000. 2. William B. Ribbens, “Understanding Automotive Electronics”, 5th

Edition, Newnes Publishing,

2000.

3. Barry Hollembeak, “Automotive Electricity, Electronics &Computer Controls”, Delmar Publishers, 2001.

4. Ronald. K. Jurgon, “Automotive Electronics Handbook”, McGraw-Hill, 1999.

UIT574E: INDUSTRIAL ELECTRONICS

3 Credits (3-0-0)

Course Objectives:

1. To understand the meaning and importance of power electronics.

2. To learn the main switching topologies used in power electronics circuits, operations, and its

control.

3. To understand the principle of operation of a thyristor.

4. To analyze and understand different configurations of control rectifiers.

5. To categorize different commutation techniques and ac voltage controllers.

6. To understand the principles of inverters.

UNIT-I Introduction: Applications of power electronics, power semiconductor devices, control characteristics,

types of power electronics circuits, peripheral effects. Power Transistor: Power BJTs, switching

characteristics, switching limits, base derive control, power MOSFETs, switching characteristics, gate

drive. IGBTs di/dt and dv/dt limitations.

10 Hrs.

UNIT-II Thyristors: Introduction, characteristics, two transistor model, turn-on and turn-off, the di / dt and dv/dt

protection, thyristor types, series and parallel operation of thyristors. Commutation Techniques:

Natural and forced commutation, self commutation, impulse commutation.

10 Hrs.

UNIT-III DC Choppers: Introduction, principles of step down and step up choppers, step down chopper with RL

loads, performance parameters, chopper classification. Controlled Rectifiers: Introduction, principles

of phase controlled converter operation, single phase - semi converters, full converters, dual converters.

10 Hrs.

UNIT-IV AC Voltage Controllers: Introduction, principles of on and off control, principles of phase control,

single phase bi-directional controllers with resistive loads and inductive loads, numerical problems.

Inverters: Introduction, principles of operation, performance parameters, single phase bridge inverter.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to design drive controls for power semiconductor devices

Ability to analyze the operation of single phase and three phase rectifiers with various loads

Ability to design commutation circuits

Ability to design ac-voltage controllers for different configurations

Ability to analyze the operation of choppers and inverters.

Text Books:

1. M. H. Rashid, “Power Electronics”, 2nd Edition, PHI / Pearson Publisher 2004.

Reference Books:

1. G. K. Dubey S. R. Doradla, A. Joshi, R.M.K. Sinha, “ThyristorizedPower Controllers”, New age

International Pvt. Ltd., Reprint 1999.

2. Cynil W. Lander, “Power Electronics”, 3rd Edition, Mc Graw Hill, 2003.

3. M. D. Singh, Kanchandani K.B., “Power Electronics”, TMH publisher, 2ndEdition, 2007.

UIT556L: DSP LABORATORY

1.5 Credit (0-0-3)

Course Objectives:

1. To write MATLAB programs for digital signal processing applications. 2. To write C programsfor DSK.


1. Illustrate aliasing effect in the time-domain and frequency domain.

2. Determine the linear convolution and correlation of the given two sequences.

3. Determine the linear convolution of the given two sequences using FFT.

4. Determine the spectrum of the given sequence using FFT.

5. Realize IIR transfer functions in cascade and parallel form.

6. Realize FIR transfer functions in cascade form.

7. Design IIR filter using bilinear transformation method with

a. Butterworth characteristic

b. Chebshev type I characteristic

c. Chebshev type II characteristic

8. Design IIR filter using impulse invariance method with

a. Butterworth characteristic

b. Chebshev type I characteristic

c. Chebshev type II characteristic

9. Design FIR filter using windowing method.

10. Design FIR filter using frequency-sampling method.

11. Study of DSP Starter Kits (DSK).

12. Implement simple DSP functions using DSKs.

Note: Implement the first ten programs using MATLAB software.

Course Outcomes:

Ability to design digital signal processing applications in MATLAB

Ability to do real time DSP projects.

UIT557L: MICROCONTROLLER LABORATORY

1.5 Credit (0-0-3)

Course Objectives:

1. To write assembly language programs using instruction set of 8051 microcontroller. 2. To interfacing various peripheral devices to 8051 microcontroller using C programs.

I. Software Programming:

1. Data Transfer instructions: Block move, Exchange, Sorting, Finding largest element in an array.

2. Arithmetic instructions: Addition, subtraction, multiplication and division.

3. Counters: Binary / BCD /Hexadecimal (up / down).

4. Boolean & Logical instructions: To check whether 0th

bit and 5th

bit of data is 0 or 1. If the bit is

0 then set the bit (Bit manipulations).

5. Conditional CALL & RETURN: Multiplication of every element of an array with constant.

6. Code conversion: BCD to ASCII; ASCII to Decimal; Decimal to ASCII.

7. Generate a square wave using timer to generate delay.

II. Interfacing Programs:

8. Generate different waveforms: Sine, square, triangular, ramp using DAC interface to 8051.

9. Stepper motor control interface to 8051.

10. DC motor control interface to 8051.

11. Elevator interface to 8051.

Course Outcomes:

Ability to write assembly language programs using instruction set of 8051microcontroller

Ability to interfacing various peripheral devices to 8051 microcontroller using C

Ability to use 8051 microcontroller in project work.

UIT651C: ADVANCED CONTROL SYSTEMS

4 Credits (4-0-0)

Course Objectives:

1. To understand the concept of compensation techniques in control system.

2. To obtain a state space model of a system.

3. To design and analyze a system instate space.

4. To understand the concept ofpole placement design.

UNIT-I Design of Feedback Control Systems: Concepts of design and compensation, cascadecompensation networks, phase-lead and phase-lag control design approaches using both root locus plots and Bode diagrams.

13 Hrs.

UNIT-II Control System Analysis in State-space: State variable representation, state variables of a dynamic

system, the state differential equation, block diagram and signal-flow graph state models, conversion of

state equations and transfer functions, conversion of transfer functions to canonical state variable

models, the time response and the state transition matrix, properties of state transition matrix, solving

state equations via Laplace transform and directly in time domain.

13 Hrs.

UNIT-III

Control System Design in State-space: Concepts of controllability and observability, methods of

testing controllability and observability, pole-placement design using feedback, stability improvement

by state feedback, necessary condition for arbitrary pole placement, design of state observers, state

feedback with integral control.

13 Hrs.

UNIT-IV Nonlinear System Analysis: Some common nonlinear system behaviors, commonnonlinearities in control systems, describing function fundamentals, describing function of common nonlinearities, stability analysis by the describing function method, concepts of phase plane analysis, construction of phase portraits, system analysis on the phase plane, Lyapunov stability.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to understand state space design methods, pole- assignment controller design methods,

frequency response analysis and perform state feedback controller and observer design

Ability to apply the concepts of advanced control techniques for real time systems.

Text Books:

1. M.Gopal, “Control Systems”, 3rd Edition, Tata McGraw Hill, 2011.

2. Katsuhiko Ogata, “Modern Control Engineering”, 4th Edition. Pearson Education, 2002.

Reference Books:

1. Richard C. Dorf and Robert H, Bishop, “Modern Control Systems”, Addison Wesley Longman Inc., 1999.

2. M.Gopal, “Digital Control and State Variable Methods”, 3rd Edition, Tata McGraw Hill,2000.

UIT652C: PROCESS CONTROL

4 Credits (4-0-0)

Course Objectives:

1. To study the fundamentals of process control.

2. To get adequate knowledge about the characteristics of various controller modes and methods of

tuning of controller.

3. To study various computer based control schemes.

4. To study the construction, characteristics and P&I Diagrams.

UNIT-I Introduction to Process Control: Introduction, control systems, process control block diagram,control system evaluation. Final Control: Introduction, final control operation, signal conversions, actuators, control elements.

13 Hrs.

UNIT-II Controller Principles: Introduction, process characteristics, control system parameters,discontinuous controller modes, continuous controller modes, composite control modes.Analog Controllers: Introduction, general features, electronic controllers, pneumatic controllers.

13 Hrs.

UNIT-III Computer Based Control: Introduction, digital applications, computer based controller, other computer applications, control system networks. Distributed Digital Control System: Advantages of digital computer control, process control requirements of computers.

13 Hrs.

UNIT-IV Control Loop Characteristics: Introduction, control system configuration, multivariable controlsystems, control system quality, stability, and process loop tuning. P & ID Symbols andDiagrams: Flow sheet symbols, inter logic symbols, graphic symbols.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to learn all types of elements of process instrumentation and different controllers

Ability to give insight of controller design, implementation, analysis and tuning.

Text Books:

1. C. D. Johnson, “Processes Control Instrumentation”, 8thEdition, PHI.

2. M. Chidambaram, “Computer Control of Process”, Narosa Publication.

Reference Books:

1. S. K. Singh, “Computer Aided Process Control”, Prentice Hall of India.

2. B G Liptak, “Instrument Engineers Handbook”,(Vol. 1 & 2), Chilton publication.

UIT653C: COMMUNICATION SYSTEMS

4 Credits (4-0-0)

Course Objectives:

1. To study the basic concepts of amplitude modulation and angle modulation.

2. To study the fundamentals of pulse modulation and digital modulation.

3. To understand coherent modulation techniques such as BPSK, DPSK and QPSK systems.

UNIT-I Amplitude Modulation: Time-Domain Description, Frequency domain description, Generationof AM waves, Detection of AM waves, AM/DSB, Time-Domain Description, Frequency domain description Generation of DSBSC waves, Coherent Detection of DSBSC Modulated waves. Costas loop, Quadrature Carrier multiplexing, AM-SSB/SC generation, Frequency-Domain Description, Frequency discrimination method for generation an SSB Modulated wave, time domain description, phase discrimination method for generating an SSB modulated wave, Demodulation of SSB waves, Comparison of amplitude modulation techniques, frequency translation, FDM.

13 Hrs.

UNIT-II Angle Modulation: Basic Concepts, Frequency Modulation, Spectrum Analysis Of sinusoidal FM wave, NBFM, WBFM, Constant Average power, Transmission bandwidth of FM waves, Generation of FM waves, Direct FM, demodulation of FM waves, frequency discriminator, ZCD. Noise in Analog Modulation Systems: Signal-to-noise ratios, AM receiver model, Signal-to -noise ratios for coherent reception, DSBSC receiver, SSB receiver, noise in AM receivers using envelope detection, threshold effect, FM receiver model, noise in FM reception.

13 Hrs.

UNIT-III Pulse Modulation: Sampling theorem for low-pass and band-pass signal, statement and proof,PAM, Channel bandwidth for a PAM signal, natural sampling, flat-top sampling, signal recovery though holding, quantization of signals, quantization error, PCM, electrical representations of binary digits, PCM systems, DPCM, delta Modulation, Adaptive delta modulation.

13 Hrs.

UNIT-IV Digital Modulation: Introduction, Binary Shift Keying, DPSK, QPSK, Type D flip-flop, QPSK transmitter, non-offset QPSK, QPSK receiver, signal - space representation, BFSK, spectrum, receiver for BFSK, geometrical representation of orthogonal BFSK, TDM

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to represent and illustrate the generationand demodulation of AM and FM.

Ability toapply aspects of signal sampling

Ability to appreciate need for DPCM, DM and ADM

Ability to usecoherent modulation techniques.

Text Books:

1. Simon Haykin, “Analog and Digital Communication”, John Willey.

2. Taub, Schilling, “Principles of Communication Systems”, Tata McGraw Hill.

Reference Books:

1. Roy Blake, “Electronic Communication Systems”, 2nd Edition, Thomson publishers, 2002.

2. George Kennedy, “Electronic Communication Systems”, TMG, 4th

Edition.

UIT654C: VIRTUAL INSTRUMENTATION

4 Credits (3-2-0)

Course Objectives: 1. To understand the concepts of virtual instrumentation.

2. To learn graphical programming concepts using LabVIEW.

3. To become competent in data acquisition and instrument control.

UNIT-I Virtual Instrumentation: Virtual instrument and traditional instrument, Hardware and software in

VI, VI for test, control and design, VI in engineering process, Virtual instruments beyond personal

computer, Graphical system design using Lab VIEW. Introduction to LabVIEW: Advantages,

Software environment, Creating and saving VI, Front panel and block diagram toll bar, Palettes,

Controls and indicators, Block diagram, Data types, Data flow program.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-II Modular Programming: Build a VI front panel and block diagram, Building a connector pane,

Displaying sub VIs and express VIs, Creating sub VIs, Repetition and Loops: For loops, While

loops, Structure tunnels, Terminal inside or outside loops, Shift registers, Feedback nodes, Control

timing, Communication among multiple loops, Local and global variables. Arrays: Creating one

dimensional, Two dimensional, Multi-dimensional arrays, Array initialization, Deleting, Inserting,

Replacing elements within an array, Array function, Auto indexing. Plotting Data: Types of

waveforms, Graphs, Charts, Data type, XY graphs.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-III Structures: Case, sequence, Customizing, Timed structures, Formula nodes, Event structures. Data

Acquisition: Signals, Signal conditioning, DAQ hardware configuration, DAQ hardware, Analog

inputs, Outputs, Counters. Motion Control: Components, Software for configuration, Prototyping and

development, Motion controller, Move types, Motor amplifiers and drives, Feedback devices and

motion I/O.

10 Hrs.

Tutorial: 06 Hrs.

UNIT-IV Process Control Application: Process control basics, Working with smart controller, Man-machine

interfaces, Data distribution, Sequential control, Continuous control. Physical Applications: Special

hardware, Field and plasma diagnostics, Handling fast pulses.

10 Hrs.

Tutorial: 06 Hrs.


24 Hrs.Tutorial

Course Outcomes:

Ability to acquire the knowledge on virtual instrumentation and application of virtual

instrumentation for data acquisition.

Ability to understand the salient features of virtual instrumentation and incorporate traits in

projects.

Ability to experiment and analyze process control application

Ability to use VI/Lab VIEW for project work.

Text Books:

1. Jerome, Jovitha, “Virtual instrumentation using LABVIEW”, PHI, 1st Edition, 2010 (Unit I,

II, III).

2. Gary W. Johnson, Richard Jennings, “LabVIEW Graphical Programming”, MGH, 4th

Edition(Unit IV).

UIT671E: MICRO ELECTRO MECHANICAL SYSTEMS 3 Credits (3-0-0)

Course Objectives:

1. To impart knowledge about electro-mechanical systems of micron dimensions and their

applications.

2. To understand the scaling laws in miniaturization as applied to geometry, forces, electricity and

heat transfer.

3. To study the materials suitable for design of micro systems.

4. To introduce micro system fabrication process.

UNIT-I Overview of Micro Electro Mechanical System and Microsystems: MEMS and Microsystems, Typical MEMS and Microsystem products, Evolution of microfabrication, Microsystems and microfabrication, Microsystem and microelectronics, Microsystem and miniaturization, Applications of Microsystems in various industries. Working Principles of MEMS: Introduction, Microsensors.

10 Hrs.

UNIT-II Working Principles of MEMS: Microactuation, MEMS and microactuators, Micro accelerometers,

micro fluidics. Scaling Laws in Miniaturization: Introduction to scaling, Scaling in geometry, Scaling

in rigid body dynamics, scaling in electrostatic forces, Scaling in electromagnetic forces, scaling in

electricity, Scaling in fluid mechanics, Scaling in heat transfer.

10 Hrs.

UNIT-III Materials for MEMS and Microsystems: Substrates and wafers, Active substrate materials, Silicon as a substrate material, Silicon compounds, Silicon piezoresistors, Gallium Arsenide, Quartz, Piezoelectric crystals, Polymers Packaging materials. Modeling and simulation of MEMS: Electronic circuits and control for MEMS: MOSFET, OpAmp, ADC, Control theory and controllers (instrumentation amplifier, PLL, airbag trigger system). MEMS system modeling, Need for simulation tools, FEM. MEMS design and realization tools - COMSOL. Case studies: Microcantilever based sensor, Electrothermal actuator, Electrostatic actuator.

10 Hrs.

UNIT-IV Microsystem Fabrication Processes: Introduction to microfabrication, Photolithoigraphy, Ionimplantation, Diffusion, Oxidation, Chemical vapor deposition, Physical vapor deposition, Deposition by epitaxy, Etching. Micromanufacturing: Bulk micromachining, Surface micromachining, LIGA process.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to design micro electro-mechanical systems.

Ability to gain knowledge of micro system fabrication process.

Text Books:

1. Tai, Ran Hsu, “MEMS and Microsystems: Design and Manufacture”, TMH, 2002. 2. G.K. Ananthsuresh, K.J. Vinoy, S. Gopalkrishna, K.N. Bhat, V.K. Aatre “Micro and Smart

Systems", WileyPublisher”, 2010, ISBN:9788126527151.

http://books.rediff.com/publisher/wiley?sc_cid=publisher

UIT672E: ROBOTICS

3 Credits (3-0-0)

Course Objectives:

1. To understand the basic subsystems of the robot and arm kinematics.

2. To understand the role of internal and external sensors of robot system.

3. To understand and analyze basic transformation matrix of robot system.

4. To understand and analyze vision, motion and path planning.

UNIT-I Introduction Robotics: Meaning of robot and robotics, History of robotic, Advantages and disadvantages of robots, Robot components, Robot degree of freedom, Joints and coordinates, Robot characteristics and workspace, Robot languages and applications, Social issues. Robot Arm Kinematics: Introduction, The direct kinematics problem, Rotation matrices, Composite rotation matrix, Rotation matrix about an arbitrary axis, Rotation matrix with Euler angle representation, Geometric interpretation of homogeneous transformation matrices, Composite homogeneous transformation matrix.

10 Hrs.

UNIT-II Links, Joints and their Parameters: The Denavit Hartenberg representation, Kinematic equations for manipulator,. Other specifications of the locations of the end-effectors, Classification of manipulators, The inverse kinematics problem. Planning of Manipulator Trajectories: Introduction, General considerations on trajectory planning, Joint-interpolated trajectories, Calculation of a 4-3-4 joint trajectory, Cubic spline trajectory.

10 Hrs.

UNIT-III Sensing for Robots: Range sensing, triangulation, Structured lighting approach, Time-of-flightrange finders, Proximity sensing, Inductive sensors, Hall effect sensors, Capacitive sensors, Ultrasonic sensors, Optical proximity sensors, Touch sensors, Binary sensors, Analog sensors, Force and torque sensing. Low-level Vision: Image acquisition, Illumination techniques, Imaging geometry, Basic transformations, Perspective transformations.

10 Hrs.

UNIT-IV Image Techniques for Low Vision Sensing: Camera model, Camera calibration, Stereo imaging,Basic relationships between pixels, Neighbours of a pixel, Connectivity, Distance measures, Preprocessing, Spatial-domain methods, Frequency-domain methods, Smoothing, Enhancement, Edge detection, Thresholding.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to identify basic components of robot system and its functionality

Ability to list internal and external sensors of robot body and its significance

Ability to identify homogenous transformation for various armconfigurations

Ability to solve forward and inverse kinematic problems.

Ability to design algorithms for motion planning and path planning.

Text Books:

1. S.Fu, R.C.Gonzalez, C.S.G. Lee, “Robotics Control Sensing Vision and

Intelligence”,McGraw Hill, 1987.

Reference Books:

1. John J. Craig, “Introduction to Robotics Mechanics and Control”, 2ndEdition,

Pearson Education, 2003.

UIT673E: LOW POWER MICROCONTROLLER

3 Credits (3-0-0)

Course Objectives:

1. To analyze the low power embedded hardware and software components.

2. To understand the architecture of low power microcontroller

3. To understand the assembly programs and C programs.

UNIT-I Embedded Electronic Systems and Microcontrollers: What are embedded systems, Approach to embedded systems, Small microcontrollers, Anatomy of a typical small microcontroller, Memory, Software, Where does the MSP430 fit. Architecture of the MSP430 processor: Pin diagram, Functional block diagram, Memory, Central processing unit, Memory-mapped input output, Clock generator, Exceptions- Interrupts and resets.

10 Hrs.

UNIT-II Instruction Set: Addressing modes, Constant generator and emulated instructions, Instruction set,

Examples, Reflections on the CPU and instruction set, Resets, Clock system, Development:

Development environment, The C programming language, Assembly language, Access to

microcontroller for programming and debugging, Light LEDs in C, Read input from a switch, Flashing

light by software delay, Flashing light by polling Timer A, Use of subroutines for automatic control

10 Hrs.

UNIT-III Functions, Interrupts and Low Power Modes: Functions and subroutines, Interrupts, Low-power modes of operation. Digital Input Outputs and Displays: Digital input outputs- parallel ports, Digital inputs, Switch debounce, Digital outputs, Interface between 3V and 5V systems, Driving heavier loads, Driving an LCD from MSP430, Simple applications of MSP430.

10 Hrs.

UNIT-IV Timers: Watchdog timers, Basic timer1, Timer A, Timer B, Selection of timers, Setting the realtime

clocks. Communication: Communication peripherals in MSP430, Serial peripheral interface, SPI with

USI and USCI, Applications of SPI, I2C, Applications of I

2C, Asynchronous serial communication.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to analyze the low power embedded hardware and software components

Ability to understand the architecture of low power microcontroller.

Ability to implement applications using assembly programming and C programming.

Text Books:

1. John H. Davies, “MSP 430 Microcontroller Basics”, Elsevier, 2008. 2. Ravikumar C.P. “MSP430 Microcontrollers in Embedded System Projects”, Elite.

UIT674E: RELIABILITY ENGINEERING

3 Credits (3-0-0)

Course Objectives:

1. To understand the concepts of reliability.

2. To apply statistics in measuring quality characteristics.

3. To create awareness of the evolution of modern quality improvement methods like six-sigma,

quality systems and standards, different dimensions of quality and the role of variability and

statistical methods play in controlling and improving quality.

4. To develop the process of acceptance sampling and describe the use of operating characteristic

(OC) curves, statistical theory of tolerances and the concepts of reliability.

UNIT-I Reliability Mathematics: Random events, probability concept, properties of probability, total probability theorem, conditional probability, Bay‘s theorem, random variables. Discrete distributions: density and distribution functions, binomial distribution, Poisson distribution. Continuous distributions: density and distribution functions, uniform distribution, exponential distribution, Rayleigh distribution, Weibull distribution, Gamma distribution, normal distribution.

10 Hrs.

UNIT-II Fundamental Concepts: Concepts of reliability, maintainability, and availability. Failure data, failure density, and failure rate (hazard data), mean failure rate, mean time to failure (MTTF), probability density function, probability distribution function (PDF), cumulative distribution function (CDF), bath tub curve.

10 Hrs.

UNIT-III Hazard Models: Constant-hazard model, linear-hazard model, nonlinear-hazard model, etc. System Reliability: Series configuration, parallel configuration, mixed configurations, an r-outof-n structure, non series-parallel systems, MTTF of systems. Redundancy: Element redundancy, unit redundancy, mixed redundancy, standby redundant

10 Hrs.

UNIT-IV Maintainability and Availability: System down time, inherent availability, achievedavailability,

operational availability, reliability and maintainability trade-off, maintainability function, availability

function, frequency of failures, two unit parallel system with repair.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to analyze the role and importance of statistical quality control in modern industry

Ability to measure quality, impact of quality on other functions, and the need for

continuousimprovement

Ability to conduct process capability studies and process capability analysis and interpret

theoutput of statistical process control methods effectively, avoiding misconceptions and

identifying opportunities for process improvement

Construct and use various types of control charts and apply control charts in theWorkplace.Use

sampling plans, statistical tolerance and reliability concepts for quality control.

Text Books:

1. L.S. Srinath, “Reliability Engineering”, 4th

Edition, Affiliated East-West Press, New Delhi.

2. E. Balagurusamy, “Reliability Engineering”, Tata McGraw Hill.

Reference Books:

1. Charles E. Ebeling, “Reliability and Maintainability Engineering”, Tata McGraw-Hill Publishing Co. Ltd.,2000

UIT681E: ARTIFICIAL INTELLIGENCE

3 Credits (3-0-0)

Course Objectives: 1. To provide the basic concepts and the modern view of Artificial Intelligence and its

applications and the agent approach to AI, agent types, environments and their applications.

2. To identify the problem solving techniques that use different search methods.

3. To provide an ability to assess the applicability, strengths, and weaknesses of the different

knowledge representation and inference methods.

4. To develop an interest in the field of AI, sufficient to take more advanced and related subjects.

UNIT-I Introduction: Introduction to Artificial Intelligence, Foundations and History of Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of Intelligent Agents, Computer vision, Natural Language Possessing.

10 Hrs.

UNIT-II Introduction to Search : Searching for solutions, Uniformed search strategies, Informed search

strategies, Local search algorithms and optimistic problems, Adversarial Search, Search for games,

Alpha - Beta pruning.

10 Hrs.

UNIT-III Knowledge Representation & Reasoning: Propositional logic, Theory of first order logic, Inference in First order logic, Forward & Backward chaining, Resolution, Probabilistic reasoning, Utility theory, Hidden Markov Models (HMM), Bayesian Network.

10 Hrs.

UNIT-IV Machine Learning: Supervised and unsupervised learning, Decision trees, Statistical learning models, Learning with complete data - Naive Bayes models, Learning with hidden data – EMalgorithm, Reinforcement learning.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to interpret modern view of AI and its application based on agent philosophy

Ability touse knowledge representation and inference techniques

Ability to recognize the various methods of handling uncertainty

Ability to demonstrate the role of learning and planning techniques in building AI

Ability to demonstrate various searching algorithms commonly used in AI.

Text Books: 1. Stuart Russell, Peter Norvig, “Artificial Intelligence A Modern Approach” , Pearson Education.

2. Elaine Rich, Kevin Knight, “Artificial Intelligence”, McGraw-Hill. 3. E Charniak, D McDermott, “Introduction to Artificial Intelligence”, Pearson Education.

4. Dan W. Patterson, “Artificial Intelligence and Expert Systems”, Prentice Hall of India.

UIT682E: BIOMEDICAL SIGNAL PROCESSING

3 Credits (3-0-0)

Course Objectives: 1. To study the fundamentals of biomedical signals.

2. To study the characteristics of bio signals.

3. To learn the methods of data reduction and spectral estimation.

UNIT-I Introduction to Biomedical Signals: Nature of biomedical signals, Classification of biomedicalsignals, Objectives of biomedical signal analysis, Difficulties encountered during acquisition and processing of biomedical signals, Computer aided diagnosis. DSP of Biomedical Signals: Sampling, spectral estimation, Random Processing: Introduction, Elements of probability theory, Random signal characterization, Correlation analysis, The Gaussian process.

10 Hrs.

UNIT-II Dynamic Biomedical Signals: Characteristics of ENG, ERG, EOG, EEG, EP, EMG, ECG/EKG, EGG, GSR, and EDR. ECG QRS Detection : Power spectrum, Differentiation method, Template matching method, QRS detection algorithm, ST segment analyzer, Portable arrhythmia monitors, Arrhythmia analysis, Signal averaging.

10 Hrs.

UNIT-III Data Reduction: Turning point algorithm, Fan algorithm, AZTEC algorithm, Huffman andmodified Huffman coding, Run length coding, Residual differencing. Time Series Analysis: Introduction, AR models, MA models, ARMA models, Adaptive Segmentation: Introduction, ACM method, SEM method.

10 Hrs.

UNIT-IV Spectral Estimation: The BT method, Periodogram, Maximum entropy method, AR method,Moving

average method, ARMA method, Maximum likelihood method, Adaptive Filter : Introduction,

General structure, LMS adaptive filter, Adaptive noise canceling - Cancellation of mains interferences,

Commercial DSP systems.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to analyze and characterize biomedical signals

Ability to use DSP techniques to analyze biomedical signals.

Text Books: 1. Arnon Cohen, “Biomedical Signal Processing”, Volume I and II, CRC press,1986.

2. Willis J. Tomkin, “Biomedical Digital Signal Processing”, PHI,1993.

Reference Books: 1. D.C.Reddy, “Biomedical Signal Processing”, TMH,2008.

2 Rangaraj M, Rangayyan , “Biomedical Signal Analysis”, John Wiley & Sons,2009.

UIT683E: COMPUTER COMMUNICATION NETWORKS

3 Credits (3-0-0)

Course Objectives: 1. Understand the fundamentals of OSI model and the TCP/IP suite.

2. Understand the concept of linking different types of networks in Data communication.

3. Basic Concept about the protocols for the transmission of frames.

4. To discuss the basic concepts of network security.

UNIT-I Introduction: Uses of computer networks, Network hardware, Network software, and Referencemodels .The Physical Layer: The theoretical basis for data communication, Guided transmission media, Wireless transmission.

10 Hrs.

UNIT-II The Data Link Layer: Data link layer design issues, Error detection and correction, Elementarydata link protocols, Sliding window protocols. The Medium Access Control Sub-layer: The channel allocation problem, Multiple access protocols: Aloha, Carrier Sense Multiple Access protocols.

10 Hrs.

UNIT-III The Network Layer: Network layer design issues, Routing algorithms, Congestion controlalgorithm. The Transport Layer: The transport services, Elements of transport protocol.

10 Hrs.

UNIT-IV Network Security: Cryptography, Symmetric key algorithms, Public key algorithms. The Application Layer: Domain name system (DNS), The DNS name space, resource records.Electronic mail, Architecture, World Wide Web. Architectural overview.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to discriminate the functionality between the layers in OSI model and TCP/IP suite.

Ability to employ protocols to facilitate the transmission of frames and to decide the efficiency

of the protocols

Ability to employ routing algorithms in routing a packet to the final destination and describe

transport layer protocol which is needed for the process to process delivery.

Text Books:

1. Andrews S.Tanenbaum, “Computer Networks”, 4thEdition, Pearson Education.

Reference Books: 1. William Stallings, “Data and Computer Networks”, 5th

Edition, PHI

2 William Stallings, “Cryptography and Network Security” 4th Edition, Pearson

UIT684E: : LINEAR ALGEBRA

3 Credits (4-0-0)

Course Objectives: 1. To use correct language and notation for linear algebra, mathematically.

2. To become computational proficient in linear algebra.

3. To understand the axiomatic structure of a modern mathematical subject and learn to construct

simple proofs.

4. To solve problems that apply linear algebra to Chemistry, Economics and Engineering.

UNIT-I Matrices and Gaussian Elimination: Introduction, The geometry of linear equations, Gaussian elimination, Matrix notation and matrix multiplication, Triangular factors and row exchanges, Inverses and transposes, Special matrices and applications.

10 Hrs.

UNIT-II Vector Spaces: Vector spaces and subspaces, Solving Ax = 0andAx = b, Linear independence, Basis,

and Dimension, The four fundamental subspaces, Graphs and networks, Linear transformations

10 Hrs.

UNIT-III Orthogonality: Orthogonal vector and subspaces, Cosines and projections onto lines, projections and least squares, Orthogonal bases, Gram-Schmidt.

10 Hrs.

UNIT-IV Determinants: Introduction, Properties of the determinant, Formulas for the determinant, Applications of determinants. Eigen values and Eigen vectors: Introduction, Diagonalization of a

matrix, Difference equations, and powers of Ak, Differential equations and e

At , complex matrices and

similarity transformations.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Solve systems of linear equations using multiple methods, including Gaussian elimination and

matrix inversion.

Demonstrate understanding of the concepts of vector space and subspace

Determine eigen values and eigenvectors and solve Eigen value problems

Apply principles of matrix algebra to linear transformations

Demonstrate understanding of inner products and associated norms.

Text Book: 1. Gilbert Strang, “Linear Algebra”, Cengage Learning India Private Limited, 2006.

Reference Book: 1. Seymour Lipschutz, Marc Lipson, “Linear Algebra”, 5th

Edition, Schaum‘s Outlines Series.

UIT656L: SYSTEM SIMULATION AND ANALYSIS LABORATORY

1 Credit(0-0-2)

Course Objectives: 1. To understand the concept of simulation for a given system.

2. To understand the working of some systems graphically.

3. To give hands on training in usage of MATLAB/Simulink for simulation.

Experiments using MATLAB/Simulink 1. Introduction to SIMULINK (Study Expt.)

2. Implementation of RC Low Pass filter in SIMULINK

3. Simulation of first order system in MATLAB and SIMULINK

4. Simulation of second order system in MATLAB and SIMULINK

5. Simulation of second order system with Proportional controller in MATLAB and SIMULINK

6. Simulation of second order system with Proportional-Plus-Derivative controller in MATLAB

and SIMULINK

7. Simulation of second order system with Proportional-Plus-Integral controller in MATLAB and

SIMULINK

8. Simulation of second order system with Proportional-Plus-Integral-Plus- Derivative controller in

MATLAB and SIMULINK

9. State space analysis of control system using SIMULINK

10. Incorporation of MATLAB program into a Simulation Model

Course Outcomes:

Ability to simulate and analyze the given system

Ability to demonstrate simulation skills for a given practical system.

UIT657L: BASIC PROCESS CONTROL LABORATORY

1.5 Credits (0-0-3)

Course Objectives: 1. To give hands on experience in designing signal conditioning circuits for various sensors.

2. To design analog controllers in different modes and to understand their practical significance.

3. To give practical exposure to some of the actuators and final control elements.

4. To give knowledge on pneumatic and hydraulic control elements.

Experiments

1. Design and implementation of signal conditioning circuit for given RTD to display the physical

parameter in the given range using DPM/DVM as display.

2. Design and implementation of signal conditioning circuit for given thermocouple to display the physical parameter in the given range using DPM/DVM as display.

3. Design and implementation of signal conditioning circuit for given thermistor to display the physical parameter in the given range using DPM/DVM as display.

4. Design and implementation of signal conditioning circuit for given AD590 to display the physical parameter in the given range using DPM/DVM as display.

5. Design and implementation of signal conditioning circuit for given load cell arrangement to display the physical parameter in the given range using DPM/DVM as display.

6. Design and implementation of analog proportional (P), derivative (D), integral (I) controller

using OPAMPS and other passive components.

7. Design and implementation of analog PI controllers using OPAMPS and other passive

components.

8. Design and implementation of analog PID controller using OPAMPS and other passive

components.

9. Experiment on synchros and resolvers.

10. Characteristics of I to P converter and P to I converter.

11. Characteristics of differential pressure transmitter.

12. Characteristics of control valve.

13. Study of pneumatic and hydraulic control elements.

14. Experiment on relay driving circuit to control dc motor.

Course Outcomes:

Ability to design the real time applications of sensors

Ability to use some of the sensors in technical projects

Ability to understand and analyze process controllers

Ability to work in core process industries.

UIT751C: PROCESS AUTOMATION 4 Credits (4-0-0)

Course Objectives: 1. To understand the importance and benefits of industrial automation and to understand how to

automate an industrial processes using PLC.

2. To understand different ways of programming a PLC.

3. To understand the instructions of PLC and to program PLC and to analyze the programs.

4. To understand the benefits of using SCADA and DCS for automating a process and

configuration of SCADA system.

UNIT-I Introduction to Industrial Automation: Utility of automation, General structure of automated process,

Examples of some simple automated systems. Introduction to Programmable Logic

Controllers(PLC): Introduction to PLC operation-The digital concept, Analog signals, The input status

file, The output status file, Input and output status files, Sixteen point I/O modules, PLC memory.

Introduction to Logic: The logic, Conventional ladder v/s LPLC ladder, Series and parallel function of

OR, AND, NOT, XOR logic, Analysis of rung. Input modules - Discrete type, Discrete AC and DC

type. Output Modules - Discrete type, Solid-state type, Switching relay type.

13 Hrs.

UNIT-II PLC Instructions: The basic relay instructions normally open and normally closed instructions, Output

latching instructions, Understanding relay instructions and the programmable controller input modules,

Interfacing start stop pushbutton and motor to PLC, Developing ladder diagram with analytical

problems.

13 Hrs.

UNIT-III Timer and Counter Instructions: On delay and off delay and retentive timer instructions, PLC counter

up and down instructions, Combining counters and timers, Developing ladder diagram with analytical

problems. Comparison and Data Handling Instructions: Data handling instructions, Sequencer

instructions - Programming sequence output instructions, Developing ladder diagram with analytical

problems.

13 Hrs.

UNIT-IV Supervisory Control And Data Acquisition (SCADA): Introduction as applied to process control

systems. Distributed Control System (DCS): Evolution of digital controllers, Advantages of digital

control, Process control requirements of digital control, Computer network, Interconnection of networks

and communication in DCS. Different Bus Configurations Used for Industrial Automation: RS232,

RS485, CAN, HART and OLE protocol, Industrial field bus- FIP (Factory Instrumentation protocol),

PROFIBUS (Process field bus), Bit bus.(Fundamentals only).

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to learn details of elements of automation, Programmable Logic Controller (PLC), PLC

programming, Supervisory Control And Data Acquisition(SCADA), Distributed Control System

(DCS), industrial buses such as CAN, Field bus, Profibus, HART bus, Bit bus etc.

Ability to apply the concepts and also, design and implement some automated systems.

Text Books:

1.

Garry Dunning, “Introduction to Programmable Logic Controllers”, 2nd

Edition. Thomson, ISBN: 981-240-

625-5.

2. Madhuchhanda Mitra and Samarjit Sen Gupta, “Programmable Logic Controllers andIndustrial Automation:

An Introduction”, Penram International Publishing India Pvt Ltd. 3. M. Chidambaram, “Computer control of Processes”, Narosa Publishing.

Reference Books: 1. Curtis Johnson, “Process Control Instrumentation Technology”, Prentice Hall of India. 2. Bela G. Liptak, “Instrumentation Engineers Hand Book – Process Control”, Chilton Book

Company, Pennsylvania.

3. W.Bolton, “Industrial Control and Instrumentation”, Universities Press.

UIT752C: CONTROL SYSTEM COMPONENTS 3 Credits (3-0-0)

Course Objectives: 1. To provide knowledge about hydraulic and pneumatic control elements.

2. To learn different types of valves, actuators and motors.

3. To introduce the concept of actuator drives and controls.

UNIT-I A.C & D.C Servomotor: Analysis, Transfer function and block diagram, Load - torque, Speed - torque

characteristics, Electronic drive circuits, Applications in control system.Synchros: Principles and

applications. Stepper Motors: Variable reluctance stepper motor, Single stack and multi stack

permanent magnet stepper motor, Hybrid stepper motors, Drive circuits and high speed operations,

Applications.

10 Hrs.

UNIT-II Process Components: Controllers: Principle, Types - Moment balance, Force balance, Pneumatic

controller with electronic sensors. Converters: Pneumatic to electronic, Current to air. Actuator:

Sizing & selection criteria, Types - Electro-mechanical (rack & pinion, rotary output, quarter-turn linear

output), Electro-hydraulic (actuator with jet pipe control, servo valve operated actuator), Pneumatic

(spring/diaphragm, piston, rotary valve, cylinder) type actuator.

10 Hrs.

UNIT-III Control Valves: Valve bodies, Types - Sliding valve, Stem valve, Ball valve, Eccentric plug valve and

butterfly valve. Valve selection criteria, Sizing, Chocked flow, Viscous flow, Piping considerations, Gas

and steam sizing, Valve performance, Flow characteristics-Rangeability, Pressure drop, End

connections, Shut off capability, Flow capacity.

10 Hrs.

UNIT-IV Control Valve Accessories: Positioners: Electro-pneumatic force balance, Motion balance, Digital to

pneumatic positioners, Symbolic representation of various switches, Working of limit switches,

Solenoid valves, Volume booster, Trip valves, Position transmitter, Manual hand wheels. Relay:

Selection criteria, Booster type, Reversing & quick exhaust type. Solid State Variable Speed Drives:

direct current, alternating current drives.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to demonstrate knowledge ofhydraulic and pneumatic control elements

Ability to demonstrate the knowledge in various types of valves, actuators and motors

Ability to use final control elements in real time applications.

Text Books: 1. P.C.Sen, “Principles of Electric Machines and Power Electronics”, John Wiley & Sons, 2nd

Edition,1996.

2. D.M.Considine, “Process/Industrial Instruments and Controls Hand book”, McGraw-Hill Professional, 5th

Edition, 1999.

3. L.R. Driskoll, "Control Valve Selection and Sizing", ISA Publishing, 1983.

Reference Books: 1. B.G. Liptak, “Instrument Engineers Hand Book”, 3rd

Edition, CRCPress,1995.

2. Nagrath I.J., Gopal M, “Control System Engineering”, 3rdEdition, PHI,2003.

UIT753C: NEURAL NETWORKS AND FUZZY LOGIC 4 Credits(4-0-0)

Course Objectives: 1. To make students understand about Biological Neural Network, differences between Biological

andArtificial Neural Network (ANN), mathematical foundations and the structures of artificial

neurons.

2. To make students gain knowledge about mathematical basis of learning mechanisms,

perceptrons, concepts of more advanced ANNs- radial basis function networks (RBF) and

Discrete Hopfield Network.

3. To learn the concept of fuzziness, fuzzy set theory.

4. To obtainknowledge about fuzzy inference system and their application to real timesystem and

the models based on fuzzy system.

UNIT-I

Introduction to Neural Networks: What is neural network, Human Brain, Models of a Neuron, Neural

Networks viewed as directed graphs, Feedback, Network architectures, Knowledge Representation,

Artificial Intelligence and Neural Networks.Learning Processes: Introduction, Error correction

learning, Memory based learning, Hebbian Learning.

13 Hrs.

UNIT-II Competitive learning, Boltzmann learning, credit assignment problem, learning with a teacher, learning

without a teacher, Learning tasks .Single layer Perceptrons:Introduction, Perceptron, and perception

convergence theorem, Multilayer perceptrons:Introduction, Some preliminaries,Back Propagation

Algorithm, XOR Problem.

13 Hrs.

UNIT-III Hopfield Networks and Boltzmann Machine: Analysis of the Hopfield net,energy minimization,

dynamics, ising models, learning, capacity and phase transitions, continuous networks, optimization

using neural networks, Boltzmann machines, finding minima. Introduction to Fuzzy Logic:

Uncertainty and Imprecision, statistics and random processes, Uncertainty in information, fuzzy sets and

membership, classical sets, operations on classical sets, properties of classical sets, mapping of classical

sets to function, fuzzy set operation, properties of Fuzzy sets, Sets as points in Hypercubes.

13 Hrs.

UNIT-IV Classical relations and fuzzy relations: Cartesian product, crisp relations, fuzzy relations, tolerance

and equivalence relations, fuzzy tolerance and equivalence relations, membership functions: Features of

membership functions, standard forms and boundaries, fuzzification, membership value assignment.

Fuzzy to crisp conversions: lambda cuts for fuzzy sets, lambda cuts for fuzzy relations, defuzzification

methods.

13 Hrs.

Total: 52 Hrs.

Course Outcomes:

Ability to differentiate between Biological and Artificial Neural Network (ANN).

Ability to develop Back-prop, Hopfield, and RBFfunctionality of artificial neural networks.

Ability to implement ANN in real world applications.

Ability to solve problems based on fuzzy set and fuzzy relations.

Ability to implement fuzzy logic control in real world applications.

Text Books: 1. Simon Haykin, "Neural Networks - A Comprehensive Foundation", McMillan College

PublishingCompany, New York, 1994. 2. James A Anderson,"An introduction to Neural Networks", Prentice Hall of India.

3. Timothy J. Ross,"Fuzzy Logic with Engineering Applications", McGraw Hill International Edition, 1997.

Reference Books: 1. Jacek M. Zurada, “Introduction to Artificial Neural Systems”, Jaico Publishing House.

2. Robert J. Schalkoff,"Artificial Neural Networks", McGraw Hill International Edition,1997.

3. Bart Kosko,"Neural Networks and Fuzzy Systems, A Dynamical Systems Approach to Machine Intelligence", Prentice Hall of India Publications, 2006.

UHS754C: PROFESSIONAL COMMUNICATION AND TECHNICAL WRITING 3 CREDITS (3-0-0)

Course Objectives: 1. To learn basics of communication and business etiquettes.

2. To learn communication at workplace and in organization.

3. To develop an ability to prepare business letter, report and technical writing.

4. To develop the overall personality.

UNIT-I Communication in the Workplace: Role of communication in business, Process of human

communication, Feedback, Elements, Objectives, Principles of communication, Importance of

communication, Barriers in communication. Communication in Organization: Formal and informal

communication, Verbal and non-verbal communication, Oral and written communication, Horizontal

and vertical communication, Internal and external communication using telephone.

10 Hrs.

UNIT-II Writing for the effect: Business etiquette and need for effect, Conversational style, You-view Point,

Positive language, Courtesy. Listening: Introduction, Meaning of listening, Poor listening habits, Types

of listening, Effective and ineffective listening skills, Strategies for effective listening, Payoffs of

effective listening, Barriers of effective listening, Role of listening in leadership style. Public Speaking

and Oral Reporting: Making formal speeches, seminar presentation.

10 Hrs.

UNIT-III Constituents of Effective Writing: Sentence construction, Paragraph development, The art of

condensation. Written Forms of Communication: Letters- Business letters, Memos, E-mails, Reports-

Objectives, Characteristics of a report, Types of reports, Importance of reports, Formats, Prewriting,

Structure of reports, Writing the reports, Revising, Editing and proof reading. Technical proposals-

Definition, Purposes, Types, Characteristics, Elements of structure, Evaluation.

10 Hrs.

UNIT-IV Research Paper, Dissertation: Instruction manuals and technical description- Instruction manuals,

Types of instructions, Writing instructions, User’s manuals, Technical description, Process description. Correctness of Communication: Common Errors in usage, Punctuation and capitalization, words

commonly miss-spelt.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to learn basics of communication, business etiquettes, business letter and report

preparation, technical writing

Confidence in attending job interviews and other endeavors.

Text Books: 1. Lesikar and Fatley , “Basics Business Communication Skills for Empowering the Internet Generation”,

10thEdition, Tata McGraw Hill, ISBN: 978-0-07-059975-8.

2. Meenakshi Raman, Sangeeta Sharma, “Technical Communication Principles and Practices”, Oxford University Press, ISBN-13 978-0-19-566804-9.

3. Meenakshi Raman, Prakash Singh, “Business Communication”, Oxford University Press, ISBN-13: 978-0-

19-567695-2.

Reference Books: 1. M. Ashraf Rizvi, “ Effective Technical Communication”, Tata McGraw Hill Company Limited, ISBN: 978-

0-07-059952-9. 2. P. D. Chaturvedi, Mukesh Chaturvedi, “ Business Communication - Concepts, Cases and Application”,

Pearson Education, ISBN:81-317-0172-7. 3. Rajendra Pal, J. S. Khorahalli , “Essential of Business Communication”, S. Chand and Sons Publications.

4. Urmita Rai, S. M. Rai, “Business Communication”, Himalaya Publishing House. 5. Krishna Mohan, Meera Banerjee , “Developing Communication Skills”, McMillan India Ltd. 6. Asha Kaul, “Business Communication”, Prentice Hall of India Pvt Ltd.

UIT771E: VLSI DESIGN 3 Credits (3-0-0)

Course Objectives:

1. To impart basic concepts and ideas of various circuits using MOS and CMOS logic.

2. To develop design equation for MOS transistor and understand its characteristics.

3. To acquire knowledge about combinational, sequential and dynamic logic circuits using CMOS.

4. To develop an interest in study of memory.

UNIT-I

Introduction to MOS Technology: Introduction to integrated circuit technology, Metal oxide

semiconductor and related VLSI technology, Basic MOS transistors, enhancement mode transistor

action, depletion mode transistor, nMOS fabrication, CMOS fabrication, BiCMOS technology. Basic

Electrical Properties of MOS and BiCMOS Circuits: Drain to source current verses Voltage

characteristics, threshold voltage, trans-conductance, nMOS inverter, determination of pull up to pull

down ratio, nMOS inverter driven through one or more pass transistors, alternative forms of pull up,

CMOS inverter, MOS transistor circuit model, BiCMOS inverters.

10 Hrs.

UNIT-II

MOS and BiCMOS Circuit Design Process: MOS layers stick diagrams, nMOS design style, CMOS

design style, designs rules and layout, and lambda based design rules. Basic Circuit Concept: sheet

resistance, area capacitance calculation, delay unit, inverter delay, driving large capacitive loads, super

buffers, wiring capacitance.

10 Hrs.

UNIT-III

Subsystem Design and Layout: architectural issues, gate (restoring) logic, examples of structure

ddesign (combinational logic)- a parity generator, Bus arbitration logic for n-line bus, multiplexers.

Subsystem Design Process: General consideration, design process- 4 bit arithmetic processor.

10Hrs.

UNIT-IV

Semiconductor memories: Introduction, Dynamic random access memory, static randomaccess

memory, nonvolatile memory, flash memory, Ferro electric random access memory.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to learn details of basics of MOS transistors and digital chip design process

Knowledge of stick diagram, layouts

Ability to excel in design of digital integrated circuits.

Text Books:

1. Douglas A. Pucknell, Kamran Eshraghian, “Basic VLSI Design”, 3rdEdition, PHI.

2. Sung Mo Kang, Yusuf Leblebici, “CMOS Digital Integrated Circuits, Analysis and Design”, 3

rdEdition, Tata McGraw Hill.

Reference Books:

1. S. M. Sze, “VLSI Technology”, 2ndEdition, Tata McGraw Hill.

UIT772E: WIRELESS COMMUNICATIONS 3 Credits (3-0-0)

Course Objectives:

1. To understand cellular network systems and their generations.

2. To understand the wireless network architecture and operation.

3. To know the basic structure and elements of a GSM.

4. To understand the GSM modulation, multiple access, duplexing, frequency hopping, the logical

channels and synchronization, GSM coding, protocol architecture of GSM.

5. To learn wireless modulation techniques and hardware.

UNIT-I

Evolution and Deployment of Cellular Telephone Systems: Different generations of wireless cellular

networks,1G, 2G, 2.5G, 3G and 4G cellular systems. Common Cellular System Components:

common cellular network components, hardware and software views of cellular networks, 3G cellular

system components, Cellular component identification, Call establishment.

10 Hrs.

UNIT-II

Wireless Network Architecture and Operation: Cellular concept, Cell fundamentals, Capacity

expansion techniques, Cellular backbone networks, Mobility management, Radio resources and power

management Wireless network security. GSM and TDMA Techniques: GSM system overview, GSM

Network and system Architecture, GSM channel concept.

10 Hrs.

UNIT-III

GSM System Operation: GSM identities, GSM system operations (traffic cases), Call handoff, GSM

infrastructure communications (Um interfaces), other TDMA systems, CDMA technology, CDMA

overview, CDMA network and system architecture.

10Hrs.

UNIT-IV

Wireless Modulation Techniques and Hardware: Transmission characteristics of wire line and fiber

system, Characteristics of air interface, Path loss models, wireless coding techniques, Digital

modulation techniques, Spread spectrum modulation techniques, UWB radio techniques, Diversity

techniques. Introduction to wireless LAN 802.11X technologies, Evolution of Wireless LAN, IEEE

802.11design issues.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to explain the classification of mobile communication systems

Ability to analyze the radio channel characteristics and the cellular principle

Ability to increase the capacity in GSM systems

Ability to analyze improved data services in cellular communication.

Text Books:

1. Gary J. Mullet, “Wireless Telecom Systems and Networks”, Thomson Learning, 2006.

Reference Books:

1. Lee W.C.Y., “Mobile Cellular Telecommunication”, McGraw Hill, 2002. 2. D. P. Agrawal, “Wireless Communication”, ThomsonLearning, 2007.

3. David Tse, Pramod Viswanath, “Fundamentals Of Wireless Communication”, Cambridge, 2005.

UIT773E: MEDICAL IMAGING TECHNIQUES 3 Credits (3-0-0)

Course Objectives: 1. To understand the preprocessing algorithms for medical images.

2. To understand the morphological image processing algorithms.

3. To design and implement algorithms that perform segmentation techniques.

4. To discuss the various representation and description schemes.

5. To discuss the different object recognition methods and different imaging techniques.

UNIT-I Introduction: Basic imaging principle, Physical signals, Imaging modalities-Projection radiography,

Computed Tomography, Nuclear medicine, Ultrasound imaging, Magnetic Resonance Imaging. X-Ray

:Interaction between X-Rays and matter, Intensity of an X-Ray, Attenuation, X-Ray Generation and

Generators, Beam Restrictors and Grids, Intensifying screens, fluorescent screens and Image

intensifiers, X-Ray detectors, Conventional X-Ray radiography, Fluoroscopy, Angiography, Digital

radiography, Dynamic spatial reconstructor, Electron beam CT, X-Ray image characteristics, Biological

effects of ionizing radiation.

10 Hrs.

UNIT-II Computed Tomography: Conventional tomography, Computed tomography principle, Generations of

CT machines – First, Second, Third, Fourth, Fifth, Sixth & Seventh. Ultrasound :Acoustic propagation,

Attenuation, Absorption and Scattering, Ultrasonic transducers, Transducer Arrays, A mode, B mode, M

mode scanners, Tissue characterization, Color Doppler flow imaging, Echocardiography.

10 Hrs.

UNIT-III Radio Nuclide Imaging: Interaction of nuclear particles and matter, nuclear sources, Radionuclide

generators, Nuclear radiation detectors, Rectilinear scanner, scintillation camera, SPECT, PET.

10Hrs.

UNIT-IV Magnetic Resonance Imaging: Angular momentum, Magnetic dipole moment, Magnetization, Larmor

frequency, Rotating frame of reference, Free induction decay, Relaxation times, Pulse sequences,

Generation and Detection of NMR Imager. Slice selection, Frequency encoding, Phase encoding, Spin-

Echo imaging, Gradient-Echo imaging, Imaging safety, Biological effects of magnetic field,

Introduction to Functional MRI.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to analyze the image compression principles and techniques on medical images

Ability to apply image segmentation techniques for medical images

Ability to analyze and implement morphological image processing algorithms

Ability to demonstrate various representations, description and object recognition schemes.

Text Books: 1. K. Kirk Shung, Michael B Smith, Benjamim M. W. Tsui, “Principles of Medical Imaging”,

Academic Press Inc.

2. Jerry L. Prince, Jonathan M. Links, “Medical Imaging Signals and Systems”, Pearson Prentice Hall.

UIT774E:OPERATING SYSTEMS

3 Credits (3-0-0)

Course Objectives: 1. To understand the goals of OS.

2. To study the different types of OS for different application.

3. To construct and design process threads.

4. To learn about memory management and scheduling jobs.

5. To study file handling and organization.

UNIT-I Introduction to Operating Systems and System Structures: What operating systems do, Computer

system organization, Computer system architecture, Operating system Structure, Operating system

operations, Process management, Memory management, Storage management, Protection and security,

Distributed system, Special purpose systems, Computing environments, Operating System Services,

User - operating system interface, System calls, Types of system calls, System programs.

10 Hrs.

UNIT-II Process Management: Overview, operations on process. Process Scheduling: Basic concepts.

Scheduling criteria, scheduling algorithms, multiple processors scheduling. Deadlocks: System model,

deadlock characterization, methods for handling deadlocks, deadlock prevention, deadlock avoidance,

deadlock detection and recovery from deadlock.

10 Hrs

UNIT-III Memory Management Strategies: Background, swapping, contiguous memory allocation, paging,

structure of the page table, segmentation of the page table, segmentation. Virtual Memory

Management: Background, demand paging, page replacement, allocation of frames, thrashing.

10Hrs.

UNIT-IV File System Concept and Implementation: File concept, access methods, directory structure, file

system mounting. Implementing File Systems: File system structure, file system implementation,

directory implementation, allocation methods, free space management.

Protection and Security: Goals of protection, domain of protection, access matrix, implementation of

access matrix, revocation of access rights, the security problem, program threats, system and network

threats.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Knowledge about computer system function and the primary PC components

Clear idea of past and current trends in computer technology

Ability to identifyissues affecting system purchase and upgrade decisions

Usage of basic software applications

Career opportunities in interdisciplinary fields.

Text Books: 1. Abraham Silberschatz, Peter Baer Galvin, Greg Gagne, “Operating System Principles”,7th

Edition,

John Wiley & Sons, 2003.

Reference Books: 1. Milan Milankovic, “Operating System Concepts and Design”, 2nd

Edition, McGraw Hill, 1992.

2. Harvey M. Deital, “Operating Systems”, Addison Wesley, 1990.

3. D.M Dhamdhere, “Operating Systems Concepts Based Approach”, Tata Mc Graw Hill, 2002.

UIT781E: EMBEDDED SYSTEMS DESIGN 3 Credits (3-0-0)

Course Objectives: 1. To introduce the embedded systems, their applications, and different peripheral interfaces.

2. To understand the design tradeoffs made by different models of embedded systems.

3. To apply knowledge gained in software-hardware integration in team-based projects.

4. To understand the concepts behind embedded software.

5. To design an embedded solution for a real world problem.

UNIT-I Introduction to Embedded Systems: Definition, over view of architecture, Application areas,

Specialties, Recent trends. Architecture of Embedded Systems: Hardware architecture, Software

architecture, Application software, Communication software, Process of generating executable image,

Development/ testing.

10 Hrs.

UNIT-II Programming for Embedded Systems: Overview of ANSI C, GNU development tools, Bit

manipulation using C, Memory management, Timing of programs, Device drivers, Productivity tools,

Code optimization, C coding guidelines, Programming in C++. The Process of Embedded System

Development: The development process, Requirements engineering, Design, Implementation,

Integration and testing, Packaging, Managing projects.

10 Hrs.

UNIT-III Hardware Platforms: Types, 89C51 microcontroller development board, AVR microcontroller

development board. Communication Interfaces: Need, RS232/UART, RS422/RS485, and Bluetooth.

Overview of Real Time Operating Systems: Off-the-shelf, Embedded and handheld.

10Hrs.

UNIT-IV Embedded Systems Applications Using Intel Strong ARM platform: Architecture of Proyog,

applications, Advanced applications.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to compare embedded system design models using different processor technologies

Ability to describe and compare the various types of peripherals used in embedded systems

Ability to analyze a given embedded system and identify its critical performance

Ability to explain and demonstrate the hardware and software aspects of interrupt systems and

use in real time embedded based projects.

Text Books: 1. Dr. K. V. K. K. Prasad, “Embedded / Real-time systems, Design Concepts and Programming“,

Dreamtech Press, 2009.

UIT782E: RENEWABLE ENERGY 3 Credits (3-0-0)

Course Objectives: 1. To enable understanding of renewable energy in the broadest terms.

2. To introduce the different renewable energy technologies in an Indian context.

3. To provide an overview of the different renewable energy technologies and their applications.

4. To show the strengths and weaknesses of renewable energy technologies.

5. To review the issues affecting effective deployment of renewable energy systems.

UNIT-I Introduction to Energy Sources: Importance of energy consumption as measure of prosperity, per

capita energy consumption, classification of energy resources; conventional energy resources –

availability and their limitations; non-conventional energy resources: Classification, advantages,

limitations; comparison of conventional and non-conventional energy resources. Solar energy basics:

Introduction, solar constant, basic sun-earth angles – definitions and their representation, solar radiation

geometry (only theory); Measurement of solar radiation data: Pyranometer and pyrheliometer.Solar

thermal systems: Principle of conversion of solar radiation into heat, solar water heaters (Flat plate

collectors), Solar cookers: box type, concentrating dish type; solar driers, solar still.

10 Hrs.

UNIT-II Solar Electric Systems: Solar thermal electric power generation: Solar pond and concentrating solar

collector (parabolic trough, parabolic dish, central tower collector). Advantages and disadvantages;

Solar photovoltaic: Solar cell fundamentals, module, panel and array. Solar PV systems: Street lighting,

domestic lighting and solar water pumping systems. Wind energy: Wind and its properties, history of

wind energy, wind energy scenario – world and India. Basic principles of wind energy conversion

systems (WECS), classification of WECS, parts of a WECS, derivation for power in the wind,

advantages and disadvantages of WECS.

10 Hrs.

UNIT-III Biomass Energy Introduction, photosynthesis process, biomass conversion technologies; Biomass

gasification: Principle and working of gasifies;Biogas: production of biogas, factors affecting biogas

generation, types of biogas plants – KVIC and Janata model. Geothermal Energy: Introduction,

geothermal resources (brief description), advantages and disadvantages, applications of geothermal

energy.

10Hrs.

UNIT-IV Energy from Ocean: Tidal energy: Principle of tidal power, components of tidal power plant (TPP),

classification of tidal power plants, advantages and limitation of TPP. Ocean thermal energy conversion

(OTEC): Principle of OTEC system, methods of OTEC power generation: Open cycle (Claude cycle),

closed cycle (Anderson cycle) and hybrid cycle (block diagram description of OTEC), advantages &

limitation of OTEC. Emerging Technologies: Fuel cell, hydrogen energy, and wave energy. (Principle

of energy generation using block diagrams, advantages and limitations).

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to define the different key renewable energy technologies

Ability to appreciate the potential applications for renewable energy technologies

Assessment of strengths and weaknesses of the different renewable energy technologies and

hence to have a better grasp of the benefits of renewable energy.

Ability to find alternative energy source for present conventional energy system.

Ability to appreciate issues and barriers that renewable energy projects face.

Text Books: 1. Rai G. D., “Non-ConventionalSources of Energy”, 4

th Edition, Khanna Publishers, 2007.

2. Khan B. H., “Non-Conventional Energy Resources”, TMH, New Delhi, 2006.

Reference Books: 1. Mukherjee D., Chakrabarti, S., “Fundamentals of Renewable Energy Systems”,New Age

International Publishers, 2005.

2. Tiwari, G. N., Ghosal M. K., “Renewable Energy Sources: Basic Principles andApplications”,

Alpha Science International Ltd., New Delhi, 2006.

UIT783E: PROCESS MODELING AND SIMULATION 3 Credits (3-0-0)

Course Objectives: 1. To know the definition and classifications of process modeling and simulations.

2. To learn the approaches to process modeling and simulations.

3. To understand various techniques in lumped and distributed process modeling.

UNIT-I Introduction to Modeling: A systematic approach to model building, classification of models.

Principles of Process Systems and Models: Conservation principles, thermodynamic principles.

Development models of steady state and dynamic lumped and distributed parameter models based on

first principles. Analysis of Ill-conditioned Systems: Meaning and methods.

10 Hrs.

UNIT-II Process Modeling: Development of grey box models. Empirical model building, Statistical model

calibration and validation. Population balance models. Examples.

10 Hrs.

UNIT-III Solutions to Lumped Process Models: Solution strategies for lumped parameter models. Stiff

differential equations. Solution methods for initial value and boundary value problems. Euler’s method, R-K method, shooting method, finite difference methods. Solving the problems using

MATLAB/SCILAB.

10Hrs.

UNIT-IV Solutions to Lumped Process Models: Solution strategies for distributed parameter models. Solving

parabolic, elliptic and hyperbolic partial differential equations. Finite element and finite volume

methods.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to characterize types of processes and simulations.

Ability to identify methods and their suitability for various process modeling.

Ability to explain the lumped and distributed process modeling.

Ability to write simple process modeling tools using mathematics.

Ability to use MATLAB/SCILAB in modeling.

Text Books: 1. K. M. Hangos, I. T. Cameron, “Process Modeling and Model Analysis”, Academic Press, 2001. 2. W.L. Luyben, “Process Modeling, Simulation and Control for Chemical Engineers”, 2nd

Edition,

McGraw Hill Book Co., New York, 1990.

3. W. F. Ramirez, “Computational Methods for Process Simulation”, Butterworths,1995.

Reference Books: 1. Park E. Davis, “Numerical Methods and Modeling for Chemical Engineers”, John Wiley & Sons,

1984.

2. Singiresu S. Rao, “Applied Numerical Methods for Engineers and Scientists” Prentice Hall, Upper Saddle River, NJ, 2001.

UIT784E: DIGITAL IMAGE PROCESSING 3 Credits (3-0-0)

Course Objectives: 1. To study the basics of Digital Image Processing.

2. To understand different spatial and frequency domain image enhancement algorithms.

3. To study 2-D filtering, image restoration techniques, on line and edge detection.

4. To study thresholding and different segmentation techniques.

UNIT-I Digital Image Fundamentals: Introduction, Fundamental steps in digital image processing (DIP),

Components of DIP system, Simple image formation model, Image sampling and quantization, Basic

relationship between pixels, Color image processing fundamentals and models. Two-dimensional

mathematical preliminaries, 2D transforms: DFT,DCT, KLT, SVD.

10 Hrs.

UNIT-II

Image Enhancement: Histogram equalization and specification techniques, Noise distributions, Spatial

averaging, Directional smoothing, median, Geometric mean. Image Restoration: Image restoration -

degradation model. Unconstrained restoration: Lagrange multiplier. Constrained restoration, Inverse

filtering-removal of blur caused by uniform linear motion, Wiener filtering.

10 Hrs.

UNIT-III Image Segmentation: Edge detection, Edge linking via Hough transform, Thresholding, Region based

segmentation, Region growing, Region splitting and merging, Segmentation by morphological

watersheds, Basic concepts, Dam construction, Watershed.

10Hrs.

UNIT-IV Image Compression: Need for data compression, Huffman, Run length encoding, Shift codes,

arithmetic coding, Vector quantization, Transform coding, JPEG standard, MPEG.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to analyze general terminology of digital image processing.

Ability to examine various types of images, intensity transformations and spatial filtering

Ability to develop Fourier Transform for image processing in frequency domain.

Ability to evaluate the methodologies for image restoration and segmentation.

Ability to apply image processing algorithms in practical applications.

Text Books:

1. Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing”, Pearson, 2nd

Edition, 2004.

2. Anil K. Jain, “Fundamentals of Digital Image Processing”, 2nd

Edition Pearson.

Reference Books: 1. Kenneth R. Castleman, “Digital Image Processing”, Pearson, 2006.

2. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, “Digital Image Processingusing MATLAB”, Pearson Education Inc., 2004.

3. D. E. Dudgeon, R. M. Mersereau, “Multidimensional Digital Signal Processing”,Prentice Hall

Professional Technical Reference, 1990.

4. William K. Pratt, “Digital Image Processing”, John Wiley, New York, 2002.

UIT755L: PROCESS INSTRUMENTATION AND CONTROL

LABORATORY

1.5 Credits (0-0-3)

Course Objectives:

1. To study PLC ladder programming and DASYLab software suite. 2. To obtain hands on experience of PLC programming and interfacing. 3. To understand the data acquisition techniques. 4. To use computers for process control.

Part A (PLC): 1. Implementation of Boolean functions using PLC. 2. Sequential control experiments using PLC. Logic should be solved using ladder diagram

technique. 3. Experiments on timers and counter instructions of PLC.

4. Interfacing external devices to PLC.

5. Implementation of automatic bottle filling process using PLC.

6. Implementation of control of conveyer belt using PLC.

7. Implementation of elevator control using PLC. Part B (Data Acquisition):

1. Interfacing the analog signal (sensors) to the computer using available DAQ boards and DASYLab software.

Part C (Computerized Process Control): 1. Interfacing the level process station to the computer using available arrangement and controlling

it through PID controller. 2. Interfacing the flow process station to the computer using available arrangement and controlling

it through PID controller.

Course Outcomes:

Ability to handle PLC, DASYLab and computer for process automation

Ability to demonstrate core competency in real world interface

Ability to demonstrate the knowledge gained in process and allied industries.

UIT851C: LASERS AND OPTICAL INSTRUMENTATION

3 Credits (3-0-0)

Course Objectives: 1. To learn the different lasers.

2. To know the application of lasers in different fields.

3. To know the fundamentals of optical fibers and optical sensors.

UNIT-I LASERS: Stimulated absorption and emission, Population inversion, components of laser system, Einstein’s equation, Q-switching, mode locking, frequency stabilization, Ruby, He-Ne, Nd-YAG, semiconductor, Argon, CO2 LASER.

10 Hrs.

UNIT-II LASER Instrumentation: LASERInterferometry, Velocimetry, LASER strain gauges, pulse echo technique,

holography, industrial applications -LASER welding, LASER machining, bio medical applications of LASER,

study of atmospheric effects and pollutants, LASER safety.

10 Hrs.

UNIT-III Sources and Detectors: LED:Principle, construction, working, principles of photo detectors, photo diode, photo

multiplier tube, PIN diode, avalanche diode, photo transistor. Opto isolator and coupler.

10 Hrs.

UNIT-IV Fiber Optic Fundamentals: Types of fibers- step index and graded index fiber, modes in step index and graded

index fiber, inter modal dispersion, fiber optic couplers and connectors, fiber losses. Fiber optic sensors:

Introduction, classification, intensity modulated sensors, phase modulated sensors, spectrally modulated sensors,

distributed fiber optic sensors, industrial applications.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to use lasers for different applications

Knowledge about the fundamentals of optical fibers and optical sensors.

Text Books: 1. Wilson &Hawkes ,“Optoelectronics”, 2

nd edition, PHI.

2. R.P. Khare , “Fiber Optics and Optoelectronics”, Oxford University press, 2004.

Reference Books:

1. Wilson & Hawkes , “Laser Principles and Applications”, 2nd Edition, PHI.

2. Orazio Svelto, “Principles of Lasers”, 5thEdition, Springer.

UIT871E:C# PROGRAMMING AND .NET 3 Credits (3-0-0)

Course Objectives: 1. Understand .NET centric building blocks and process of compiling and debugging C# source

code files.

2. Understand the core constructs of the C# programming language.

3. Describe the pillars of OOP and understanding of object lifetime and to handle runtime

anomalies using structured exception handling.

4. Apply an object based deployment using interfaces and build systems using delegates and events.

5. Implement the advanced concepts of C# programming and build .NET assemblies.

UNIT-I The philosophy of .NET: Understanding the Previous State of Affairs, The .NET Solution, The Building Block of the .NET Platform (CLR,CTS, and CLS), The Role of the .NET Base Class Libraries, What C# Brings to the Table, An Overview of .NET Binaries ( aka Assemblies ), Intrinsic CTS Data Types, Understanding the Common Languages Specification, Understanding the Common Language Runtime A tour of the .NET Namespaces, Increasing Your Namespace Nomenclature, Deploying the .NET Runtime, Building C# applications: The Role of the Command Line Complier (csc.exe), Building C # Application using csc.exe Working with csc.exe Response Files, Generating Bug Reports , Remaining C# Compiler Options, The Command Line Debugger (cordbg.exe) Using the, Visual Studio .NET IDE, Other Key Aspects of the VS.NET IDE, C# “Preprocessor:” Directives, An Interesting Aside: The System .Environment Class.

10 Hrs.

UNIT-II C# language fundamentals: The Anatomy of a Basic C# Class, Creating objects: Constructor Basics,

The Composition of a C# Application, Default Assignment and Variable Scope, The C# Member

Initialization Syntax, Basic Input and Output with the Console Class, Understanding Value Types and

Reference Types, The Master Node: System, Object, The System Data Types (and C# Aliases),

Converting Between Value Types and Reference Types: Boxing and Unboxing, Defining Program

Constants, C# Iteration Constructs, C# Controls Flow Constructs, The Complete Set of C# Operators,

Defining Custom Class Methods, Understating Static Methods, Methods Parameter Modifies, Array

Manipulation in C #, String Manipulation in C#, C# Enumerations, Defining Structures in C#, Defining

Custom Namespaces.

10 Hrs.

UNIT-III Object- oriented programming with c#: Forms Defining of the C# Class, Definition the “Default Public Interface” of a Type, Recapping the Pillars of OOP, The First Pillars: C#’s Encapsulation Services, Pseudo-Encapsulation: Creating Read-Only Fields, The Second Pillar: C#’s Inheritance Supports, keeping Family Secrets: The “Protected” Keyword, Nested Type Definitions, The Third

Pillar: C #’s Polymorphic Support, Casting Between. Exceptions and object lifetime: Ode to Errors,

Bugs, and Exceptions, The Role of .NET Exception Handing, the System.Exception Base Class,

Throwing a Generic Exception, Catching Exception, CLR System – Level Exception (System.System

Exception), Custom Application-Level Exception (System.System Exception), Handling Multiple

Exception, The Family Block, the Last Chance Exception Dynamically Identifying Application – and

System Level Exception Debugging System Exception Using VS. NET, Understanding Object Lifetime,

the CIT of “new’, The Basics of Garbage Collection,, Finalization a Type, The Finalization Process, Building an Ad Hoc Destruction Method, Garbage Collection Optimizations, The System. GC Type.

10 Hrs.

UNIT-IV Interfaces and collections: Defining Interfaces Using C# Invoking Interface Members at the object

Level, Exercising the Shapes Hierarchy, Understanding Explicit Interface Implementation, interfaces As

Polymorphic Agents, Building interface hierarchies, implementing, Implementation, Interfaces Using

VS .NET, understanding the IConvertible Interface, Building a Custom Enumerator (IEnumerable and

Enumerator), Building Cloneable objects (ICloneable), Building Comparable Objects (I Comparable),

Exploring the system. Collections Namespace, Building a Custom Container (Retrofitting the Cars

Type). Callback interfaces, delegates, and events: Understanding all back interfaces, Understanding

the .NET Delegate Type, Members of System. Multicast Delegate, The Simplest Possible Delegate

Example, Building More a Elaborate Delegate Example, Understanding Asynchronous Delegates,

Understanding (and Using) Events.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to demonstrate building blocks of .NET and design C# applications using Visual Studio

Ability to describe the pillars of Object Oriented Programming, garbage collection and exception

handling

Ability to design C# applications using interfaces, delegates and events and understand C#

advanced programming techniques and build various .NET assemblies.

Text Books: 1. Andrew Troelsen, “Pro C# with .NET 3.0”,Special Edition, Dream Tech Press, India, 2007.

2. E. Balagurusamy, “Programming in C#”, 5th

Reprint, Tata McGraw Hill, 2004.

Reference Books: 1. Tom Archer, “Inside C#”,WP Publishers, 2001.

2. Herbert Schildt,“The Complete Reference C#”, Tata McGraw Hill, 2004.

UIT872E: ARM PROCESSORS 3 Credits (3-0-0)

Course Objectives:

1. To study the ARM design philosophy, design rules; ARM based embedded system hardware and

software components.

2. To understand the ARM processor core fundamentals, THUMB instruction set.

3. To understand and learn exceptions and interrupt handling schemes.

UNIT-I An Introduction to Processor Design: Processor architecture and organization, Abstraction in Hardware design, MU0- A Simple processor, Instruction set design, Processor design trade-offs, The reduced instruction set computer, Design for low power consumption. The ARM Architecture: The Acorn RISC machine, Architectural inheritance, The ARM programmer’s model, ARM Organization and implementation: 3-stage pipeline ARM organization, 5-stage pipeline ARM organization.

10 Hrs.

UNIT-II The ARM Instruction Set: Introduction, Exceptions, Conditional execution, Branch and branch with

link (B, BL), Branch, Branch with link and exchange (BX, BLX), Software interrupt (SWI), Data

processing instructions, Multiply instructions, Count leading zeros (CLZ - Architecture V5t Only),

Single word and unsigned byte data transfer instructions, Half-word and signed byte data transfer

instructions, Multiple register transfer instructions, Swap memory and register instructions (SWP),

Status register to general register transfer instructions, General register to status register transfer

instructions.

10 Hrs.

UNIT-III Architectural Support for High-level Languages: Abstraction in software design, Data types,

Floating-point data types, The ARM floating-point architecture, Expressions, Conditional statements,

Loops, Functions and procedure. ARM Processor Cores: ARM7TDMI, ARM9TDMI.

10 Hrs.

UNIT-IV Architectural Support for Operating Systems: An introduction to operating systems, The ARM

system control coprocessor, CP15 protection unit registers, ARM protection unit, CP15 MMU registers,

ARM MMU architecture, ARM CPU Cores: The ARM710T, ARM720T, and ARM740T.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to analyze ARM design philosophy, design rules and the functions of ARM embedded

hardware and software components

Ability to implement and debug ARM assembly level programs

Ability to handle exceptions and interrupts in the ARM processor

Text Books: 1. Steve Furber, “ARM- System on Chip- Architecture”,2nd

Edition,Pearson.

UIT873E: DIGITAL CONTROL SYSTEMS 3 Credits (3-0-0)

Course Objectives: 1. To study the importance of sample data control system.

2. To give adequate knowledge about signal processing in digital control.

3. To study the importance of modeling of discrete systems and stability analysis of discretedata

system.

4. To study the importance of state space representation for discrete data system.

5. To introduce the design concept for digital controllers.

6. To study the design of state regulator.

UNIT-I Signal Processing in Digital Control: Configuration of the basic digital control scheme, time-domain

models for discrete-time systems, stability on the z-plane and the Jury stability criterion, sample-and-

hold systems, practical aspects of choice of sampling rate. Z-domain description of sampled

continuous-time plants and systems with dead-time, Implementation of digital controllers.

10 Hrs.

UNIT-II Design of Digital Control Algorithms: z-plane specifications of control system design, digital

compensator design using root locus plots and Bode diagrams, z-plane synthesis.

10 Hrs.

UNIT-III Digital Control System Analysis in State-space: State descriptions of digital processors, state

descriptions of sampled continuous-time plants, state descriptions of systems with dead-time, solution of

state difference equations, controllability and observability.

10 Hrs.

UNIT-IV Digital Control System with State Feedback: State regulator design,design of state observers,

compensator design by separation principle, servo design, state feedback with integral control, deadbeat

control by state feedback and deadbeat observers.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to model digital control system

Ability to analyze digital control system

Ability to design digital controller and apply them in real process

Ability to design of state regulators.

Text Books: 1. M.Gopal, “Digital Control and State Variable Methods”, 3rd


Reference Books: 1. Benjamin C. Kuo, “Digital Control Systems”, 4th

Edition, Oxford University Press, 1992.

2. K. Ogata, “Discrete-Time Control Systems”, 2nd Edition, PHI.

UIT874E:OPTIMIZATION TECHNIQUES 3 Credits (3-0-0)

Course Objectives: 1. To introduce the problem and classification of optimization

2. To learn the methods of constrained minimization.

UNIT-I Introduction to Optimization: Engineering applications of optimization, optimization problem- design vector, design constraints, constraint surface, objective function, objective function surfaces, Classification of optimization problems- based on the existence of constraints, the nature of the design variables, the physical structure of the problem, the nature of the equations involved, the permissible values of the design variables, the deterministic nature of the variables, the separability of the functions, the number of objective functions. Optimization techniques.

10 Hrs.

UNIT-II Classical Optimization Techniques: Single variable optimization – Multivariable optimization with no

constraints – Hessian matrix –Multivariable saddle point – Optimization with equality constraints –

Lagrange multiplier method -Multivariable optimization with inequality constraints – Kuhn-Tucker

conditions.

10 Hrs.

UNIT-III One-dimensional Unconstrained minimization: Elimination methods – unrestricted search method –

Fibonacci method – Interpolation methods –Quadratic interpolation and cubic interpolation methods.

10 Hrs.

UNIT-IV Unconstrained minimization: Gradient of a function – Steepest descent method – Newton’s method –

Powells method – Hooke and Jeeve’s method. 10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to understand the problem and classification of optimization

Ability to demonstrate constrained minimization.

Text Books: 1. S.S. Rao, “Optimization theory and application”, 3rd

Edition, New Age International Pvt. Ltd.

Reference Books: 1. A. D. Belegundu, T.R. Chandrupatla, “Optimization Concepts and Applications in Engineering”,

Pearson Education Asia.

UIT881E: DATABASE MANAGEMENT SYSTEMS 3 Credits (3-0-0)

Course Objectives: 1. To understand the concept of database, characteristics and architecture.

2. To understand the concepts of data modeling, entity relationship and ER diagrams.

3. To understand the concepts of relational data model and relational algebra and SQL.

4. To discuss and understand the data base design and normalization.

5. To know about the system implementation, transaction processing and system concepts.

UNIT-I Introduction: Characteristics of database approach; advantages of using DBMS approach; when not to use a DBMS. Data models, schemas and instances; Three schema architecture and data independence; Database languages and interfaces; The database system environment; Centralized and client server architectures; Classification of Database Management systems. Entity Relationship Model: Using high-level conceptual data models for database design; An example database application; Entity types, Entity sets, Attributes and Keys; Relationship types, Relationship sets, Roles and Structural constraints; Weak entity types; Refining the ER Design; ER Diagrams, Naming conventions and design issues; Relationship types of degree higher than two.

10 Hrs.

UNIT-II Relational Model and Relational Database Constraints: Relational model concepts; Relational model constraints and Relational database schemas; Update operations, Transaction and dealing with constraint violations. Relational Algebra: Unary relational operations: SELECT and PROJECT Relational algebra

operations from set theory; Binary relational operations: JOIN and DIVISION; Additional relational operations; Examples of queries in relational algebra; Relational database design using ER to Relational mapping.SQL: data definition and data types; Specifying basic constraints in SQL; Schema change statements in SQL; Basic queries in SQL.

10 Hrs.

UNIT-III Database Design: Informal design guidelines for relation schemas; Functional dependencies; Normal forms based on primary keys; General definitions of second and third normal forms; Properties of

Relational Decompositions; Algorithms for relational database Schema design.

10 Hrs.

UNIT-IV Transaction Management: Introduction to transaction processing; Transaction & system concepts; Desirable properties of transactions; Characterizing schedules based on recoverability; Characterizing schedules based on serializability. Concurrency Control: Two phase locking techniques for

concurrency control. CRASH recovery: Recovery concepts; Recovery techniques based on deferred update; recovery techniques based on immediate update; shadow paging; The ARIES recovery algorithm.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to identify and define the information that is needed to design a database management

system

Create conceptual and logical database designs

Ability to build a database management system that satisfies relational theory

Identify the core terms, concepts, and tools of relational database management systems

Work in teams and utilize effective group techniques to manage a complex project.

Text Books: 1. Remez Elmasri & Shamkant B. Navathe, “Fundamentals of Database Systems”, 5th

Edition,

Pearson Education.

Reference Books: 1. Ramakrishanan Gehrke, “ Database Management Systems”, 3rd

Edition, McGraw Hill Higher

Education.

2. C. J. Date, “An Introduction to Data base systems”, Addision Wesley, 4th Edition.

UIT882E:AIRCRAFT INSTRUMENTATION

3 Credits (3-0-0)

Course Objectives: 1. To learn the basics of Aircraft and the instrumentation involved in aircraft systems for display.

2. To study the measurement of altitude and vertical speed indicator and use of gyroscope in

aircraft.

3. To understand the techniques for measurement of fuel quantity and engine control instrument.

UNIT-I Introduction: Aircraft types, Components of airplane, Introduction to the aircraft instruments, Classification of aircraft instruments, Basic “T” grouping of instruments, Instrument displays, Cockpit layout. Theory of Air Data Instruments: Pneumatic type and air data computers, International standard atmosphere (ISA), Basic pneumatic air data system, Combined pitot-static probe.

10 Hrs.

UNIT-II Air Data Instruments: Air speed indicator, Machmeters, Altimeters, Instantaneous vertical speed

indicator. Directional Systems: Earth’s total magnetic field, Horizontal and vertical components of total

field direct reading compass and its limitations, Total magnetic effect. Air Data Warning System:

Mach warning system, Altitude alerts system, Airspeed warning system.

10 Hrs.

UNIT-III Gyroscopic Flight Instruments: Basic mechanical gyro and its properties: Rigidity and Precision,

limitations of a free gyroscope, Methods of operating gyroscopic flight instruments, Gyro horizon

principle, Erection systems for gyro horizons, Direction indicator, Turn and bank indicator, Turn

coordinator.

10 Hrs.

UNIT-IV Engine Instruments: Pressure measurement, Temperature measurement, Capacitance type volumetric

fuel quantity indicator, Densitometer, Fuel quantity indicator by weight, EPR, EGT, Integrated impellor

type flow meter.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Knowledge of different air data instruments

Ability to demonstrate the operation and working of directional and gyroscopic instruments and

different engine instruments.

Text Books: 1. EHJ Pallet, “Aircraft Instruments and Integrated Systems”, Longman Scientific & Technical, 1992.

Reference Books: 1. C A Williams, “Aircraft Instruments”,Galgotia Publications, New Delhi.

2. Bhaskar Roy, “Aircraft Propulsion”,Elsevier Publications, New Delhi.

UIT883E: ADVANCED INDUSTRIAL AUTOMATION 3 Credits (3-0-0)

Course Objectives: 1. To understand the importance and benefits of automation and to understand how to automate an

industrial processes using PLC.

2. To understand the usage of analog PLC.

3. To understand the fundamentals of industrial buses and network topologies used in industry.

UNIT-I Advanced PLC Functions: Analog PLC operation, PID control of continuous processes Networking

PLCs, Alternative programming languages, PLC auxiliary commands and functions, PLC Installation,

Troubleshooting, and maintenance, Selecting a PLC. Advanced automation: Classical approaches of

plant automation, Computer-based plant automation concepts, Distributed Computer Control.

10 Hrs.

UNIT-II System Architecture: Evolution of hierarchical system structure, Functional levels, Database

organization, System implementation concepts, Human interface. System Elements of Distributed

Computer Control: Field stations, Intermediate stations, Central computer station, Monitoring and

command facilities.

10 Hrs.

UNIT-III Industrial Networking: Introduction, Hierarchy of Industrial networks, Network topologies, Data flow

managment, Transmission hardware, Network backbones, Network comunication standards, Fieldbus

networks, Modbus, AS-Interface, HART, Foundation Fieldbus, Profibus, NetLinx networks, Devicenet,

Controlnet. Ethernet/IP

10 Hrs.

UNIT-IV Application Development and Automation for Industry Verticals: Water and Waste Water

Treatment, Cement, Pulp and paper plant, Glass making plant, Oil and gas fields.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to demonstrate the knowledge of analog PLC

Ability to automate an industrial process

Ability to demonstrate the knowledge of computers in process industries.

Text Books: 1. John W. Webb,Ronald A. Reis, “Programmable Logic Controllers: Principles and Applications”,

5th

Edition, PHI Publication.

2. Poppovik, Bhatkar, “Distributed Computer Control for Industrial Automation”, Dekkar

Publications.

3. Terry Baltelt,“Ïndustrial Automated Systems: Instrumentation and Motion Control”, Delmar Cengage Learning, 2011.

Reference Books: 1. S. K. Singh, “Computer Aided Process Control”, PHI Publication.

2. Garry Dunning, “Introduction to Programmable Logic Controllers”, Thomson Learning.

UIT884E: PATTERN RECOGNITION 3 Credits (3-0-0)

Course Objectives:

1. To equip with basic mathematical and statistical techniques commonly used in pattern

recognition.

2. To introduce to a variety of pattern recognition algorithms.

3. To provide a detailed overview of some advanced topics in pattern recognition.

UNIT-I Introduction: Pattern Recognition (PR) overview, pattern recognition typical system, classification, patterns & features extraction with examples, Design cycles, Training , earning and adaptation , Pattern recognition approaches. Statistical decision theory. Probability: Introduction, probability of events, random variables, joint distributions and densities, moments of random variables, estimation of parameters from samples, minimizing risk estimators. Statistical Decision Making: Introduction, Byes theorem, multiple feature, conditionally independent feature, decision boundaries, unequal costs of error, estimation of error rates the leaving one out technique, characteristic curves, estimating the composition of populations.

10 Hrs.

UNIT-II Non-parametric Decision Making: Introduction, histograms kernel & window estimate ors nearest

neighbor classification techniques, adaptive decision boundaries. Clustering: Introduction, hierarchal

clustering, partitional clustering. Formulations of unsupervised learning problems, Clustering for

Unsupervised Learning and classification

10 Hrs.

UNIT-III Syntactic Pattern Recognition: Overview, quantifying structure in pattern description and recognition,

grammar based approach, elements of formal grammar. Structural Recognition via Parsing and other

grammars; Graphical approaches to syntPR. Learning Via Grammatical inference. Neural Pattern

Recognition: Introduction to neural networks, Neural network for PR applications, Physical neural

networks, Artificial neural network model. Introduction to neural pattern associators and matrix

approaches and examples.

10 Hrs.

UNIT-IV Feed-forward Networks and Training by Back Propagation: Introduction, Multilayer, Feed-forward

structure, Training the feed-forward network, Examples, Unsupervised Learning in NeurPR: Hopefield

approach to neural computing, Examples.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to design systems and algorithms for pattern recognition

Ability to analyze classification problems

Ability to understand and analyze methods for automatic training of classification systems

Able to apply parameter estimation and decision making in relatively complex probabilistic

models

Ability to understand the principles of Syntactic pattern recognition and Feed-forward networks.

Text Books: 1. Earl Gose,“Pattern Recognition and Image analysis”, PHI, 2002.

2. Robert Schalkoff, “Pattern Recognition: Statistical, structural and Neural Approaches”, John Wiley and Sons, Inc. 1992.

Reference Books: 1. Richard O. Duda, Peter E. Hart, David G. Stork, “Pattern Classification”, John Wiley and Sons, Inc 2nd

Edition, 2001.

vision of the department: mission of the · pdf filemission of the department: ... fixed bias,...

Documents