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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 &

INSTRUMENTATIO

N ENGINEERING

(E&IE)

BASAVESHWAR

ENGINEERING

COLLEGE

(BEC)

Department of Instrumentation Technology(Department of Electronics and Instrumentation Engineering)

14%

14%

18%

25%

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

SCHEME OF TEACHING AND EXAMINATIONB.E. (III SEMESTER) INSTRUMENTATION TECHNOLOGY

(DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)

*An audit laboratory with title: Circuits Laboratory (UIT356A), 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 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.

***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

2012-13 Batch

Sl.No

Subject Code Subject Credits Hours / Week Examination MarksLecture Tutorial Practical CIE SEE Total

1 UMA301C Engineering Mathematics –III 04 4 0 0 50 50 1002 UIT351C Analog Electronics 04 4 0 0 50 50 1003 UIT352C Digital Electronics 03 3 0 0 50 50 1004 UIT353C Sensors and Transducers 04 4 0 0 50 50 1005 UIT354C Electrical Circuit Analysis 04 3 2 0 50 50 1006 UHS355C Entrepreneurship Development 03 3 0 0 50 50 1007 UIT356L* Basic Circuits Laboratory 01 0 0 2 50 50 1008 UIT357L Digital Electronics Laboratory 01 0 0 2 50 50 1009 UIT358L Instrumentation Laboratory 01 0 0 2 50 50 100

10 UMA001M** Advanced Mathematics-I - 4 - - 50 50 100Total 25 21*** 02 06 450 450 900

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

(DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)Sl. Subject Subject Credits Hours / WeekNo Code Lecture Tutorial Practical CIE1 UMA401C Engineering Mathematics–IV 04 4 0 02 UIT451C Digital Design using HDL 03 3 0 03 UIT452C Data Acquisition and Converter 04 4 0 04 UIT453C Signals & Systems 04 3 2 05 UIT454C Linear ICs and Applications 04 4 0 06 UIT455C Electronic Measurement & Instrumentation 04 4 0 07 UIT456L Linear ICs & Data Converters Laboratory 01 0 0 28 UIT457L* Measurement Laboratory 01 0 0 29 UMA002M** Advanced Mathematics-II - 4 - -

Total 25 22*** 02 04*An audit laboratory with title: Basic Measurement Laboratory (UIT457A), 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-II is a mandatory subject 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.

***The total lecture hours 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

SCHEME OF TEACHING AND EXAMINATION B.E. (V SEMESTER) INSTRUMENTATION TECHNOLOGY(DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)

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

2012-13 Batch

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

SCHEME OF TEACHING AND EXAMINATIONB.E. (VI SEMESTER) INSTRUMENTATION TECHNOLOGY


Sl. Subject Subject Credits Hours / Week Examination Marks

No Code Lecture Tutorial Practical CIE SEE Total

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

SCHEME OF TEACHING AND EXAMINATIONB.E. (VII SEMESTER) INSTRUMENTATION TECHNOLOGY


Sl. Subject Subject Credits Hours / Week Examination MarksNo Code Lecture Tutorial Practical CIE SEE Total1 UIT751C Process Automation 04 4 0 0 50 50 1002 UIT752C Control System Components 03 3 0 0 50 50 1003 UIT753C Neural Network & Fuzzy Logic 04 4 0 0 50 50 1004 UHS754C Professional Communication and Technical 03 3 0 0 50 50 100

Writing5 UITXXXE Dept Elective- IV* 03 3 0 0 50 50 1006 UITXXXE Dept Elective -V** 03 3 0 0 50 50 1007 UIT755L Process Instrumentation & Control Laboratory 1.5 3 0 3 50 50 1008 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 TitleUIT771E Renewable Energy UIT772E Wireless CommunicationUIT773E Medical Imaging Techniques UIT774E Operating Systems

Group VSubject code Title Subject code TitleUIT781E Embedded systems design UIT782E VLSI Design UIT783E Process Modeling and Simulation UIT784E Digital Image Processing

# Evaluation components: Project Title/Group formation, Literature survey (Considering at least 3 journal papers), synopsis, seminar related to the project chosen at start, mid-semester and end semester.Evaluation components:

Sl.No. Evaluation Component Type of evaluation Marks01 Synopsis presentation and mid semester seminar Internal 5002 End semester seminar 50

2012-13 Batch

SCHEME OF TEACHING AND EXAMINATION

2012-13 BatchB.E. (VIII SEMESTER) INSTRUMENTATION TECHNOLOGY(DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)

Sl. Subject Subject Credits Hours / Week Examination MarksNo Code Lecture Tutorial Practical CIE SEE Total1 UIT851C Laser & Optical Instrumentation 04 4 0 0 50 50 1002 UITXXXE Dept Elective- VI* 03 3 0 0 50 50 1003 UITXXXE Dept Elective- VII** 03 3 -- 0 50 50 1004 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

Subject code Title Subject code TitleUIT871E C# Programming and .Net UIT872E ARM ProcessorUIT873E Digital Control Systems UIT874E Optimization Techniques

Group VIISubject code Title Subject code TitleUIT881E DBMS UIT882E Aircraft InstrumentationUIT883E 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 5002 Mid semester evaluation ( Assessment of work progress) 5003 Presentation External 2504 Demonstration 5005 Viva Voce 25

DEPARTMENT OF INSTRUMENTATION TECHNOLOGY(DEPARTMENT OF ELECTRONICS & INSTRUMENTATION ENGG.)

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 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.

UMA301C ENGINEERING MATHEMATICS-III4 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-INumerical 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, Runge Kutta 4th order Method, Milne‘s Predictor and Corrector method (problems only).

13 Hrs.

UNIT-IIFourier 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-IIIPartial 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-IVLinear 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.

UIT351C: ANALOG ELECTRONICS4 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-ISemiconductor 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-IIBJT 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-IIIFET 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-IVFeedback 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, 9thEdition, 2005. 2. David A. Bell,"Electronic Devices and Circuits", PHI, 4thEdition, 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-IPrinciples 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-IIAnalysis 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-IIISequential 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-IVSequential 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, 2ndEdition, 2001. 3. Rajshekhar Allurkar, "Logic Design", CBS Publishers, 2008.

UIT353C: SENSORS AND TRANSDUCERS4 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-IIntroduction 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-IIResistive 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-IIIReactance Variation and Electromagnetic Type: Capacitive sensors, Inductive sensors, Electromagnetic sensors.

13Hrs.UNIT-IVDigital 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", 3rdEdition, Newnes Publication.2. D. Patranabis, "Sensors and Transducers", 2ndEdition, PHI.3. Allan S. Morris, "Measurement and Instrumentation Principles", 3rdEdition, Butterworth &

Heinmann Publication.4. John Bentley, "Principles of Measurement Systems", 3rdEdition, 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-IThe 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-IINetwork 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.


UNIT-IIICircuit 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-IVNetwork 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.


Total: 40 Hrs. Theory 24 Hrs. TutorialCourse 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, 3rdEdition, 2002.2. William D. Stanley, "Network Analysis with Applications", Pearson Education,4thEdition, 2004.

Reference Books:

1.W. H. Hayt, J. E. Kemmerly and S. M. Durbin, "Engineering Circuit Analysis", TMH, 6thEdition, 2006.2. Roy Choudhary, "Networks &Systems",New Age International Publishers.

UHS355C: ENTREPRENEURSHIP DEVELOPMENT3 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-IEntrepreneur: 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-IISmall 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-IIIInstitutional Support: TECKSOK, KIADB, KSSIDC, KSIMC, DIC Single window agency, SISI(MSME-DI), NSIC, SIDBI, KSFC, Institutions supporting women entrepreneurship in India.

10 Hrs.UNIT-IVPreparation 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 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.

UIT356L: BASIC CIRCUITS 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).

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.

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-IDifferential 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-IIIntegral Calculus: Reduction formula for functions Sinnx, Cosnx, tan nx, Sinmx Cosmx. 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-IIIHigher 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 Ability to apply the knowledge effectively in physical problems Ability to demonstrate the knowledge in various engineering disciplines.

.

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.

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-IComplex 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, ez, za2

zwhere z0, 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-IISpecial 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-IIIStatistics 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, multiplication rule, Baye‘s rule. Discrete and continuous random variables-PDF-CDF, Binomial, Poisson and Normal distributions.

12 Hrs.

UNIT-IVSampling 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.

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.

UIT451C: DIGITAL DESIGN USING HDL3 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-IIntroduction: Need for HDL, Structure of HDL module, operators, data types, Simulation and synthesis HDL, comparison of VHDL and Verilog. Dataflow Description: Structure of data flow description, Data type vectors.

10 Hrs.UNIT-IIBehavioral 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-IIIDesign 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-IVDigital 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 CONVERTERS4 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-IData 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-IIData 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-IVDigital 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”, 2ndEdition, Tata McGraw Hill, 2004.

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 SYSTEMS4 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-IIntroduction: 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.


UNIT-IITime-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.


UNIT-IIIFourier 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.


UNIT-IVTime-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.

Total: 40 Hrs. Theory24 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, 2ndEdition, 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, 2ndEdition,

2002.

UIT454C: LINEAR ICs AND APPLICATIONS4 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-IIntroduction 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-IIOp-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-IIIOp-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-IVSignal 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 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.

UIT 455C: ELECTRONIC MEASUREMENT AND INSTRUMENTATION4 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-IUnits 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-IIAC 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, multi range voltmeter, extending voltmeter ranges, Loading, True RMS voltmeters.

13 Hrs.

UNIT-IIIDigital 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-IVDC 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.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 LABORATORY1Credit (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.

UIT457L: MEASUREMENT LABORATORY1Credit (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

Ability to demonstrate acquired knowledge in technical projects.

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-ISolid Geometry: Distance formula (without proof), Division formula, direction cosines and direction ratios, planes and straight lines, angle between the planes

11Hrs.UNIT-IIVector 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-IIILaplace 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:

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.

UIT551C: MICROCONTROLLER4 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-I8051 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-IIInstruction 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-III8051 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-IVInterfacing 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.


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”,

3rdEdition, 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 PROCESSING4 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-IIntroduction: 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-IIEfficient 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-IVDesign 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.


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”, 4 thEdition,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 SYSTEMS4 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 2ndorder 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-IIntroduction: 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-IIBlock 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-IIIStability 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-IVFrequency 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.


Ability to model electrical and mechanical systems Ability to find the stability of the systems 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 INSTRUMENTATION4 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, bio-amplifiers and their applications in biomedical engineering concepts.

3. To understand various bio-medical instruments.4. To understand the basic concepts of biosensors and their importance.

UNIT-IFundamentals 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-IIPatient 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 detector.

13 Hrs.UNIT-IIIBlood 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-IVBiosensors: 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 of various 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 STRUCTURES4 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-IIntroduction: 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-IIFunctions: 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-IIIOperator 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-IVData 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.


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 INSTRUMENTATION3 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-IIntroduction: 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-IIIR 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-IIIAtomic 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-IVChromatography: 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”, 7 thEdition, CBS Publication,1986.

Reference Books:

1. R.S. Khandpur, “Hand Book of Analytical Instrumentation”, TMH, 1989.

UIT572E: OPERATION RESEARCH3 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-IIntroduction: 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-IITransportation 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-IIISequencing: 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-IVGame 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 the duality 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 ELECTRONICS3 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-IStarting 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-IILighting 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-IIIElectronic 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-IVDigital 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.


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”, 5thEdition, 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 ELECTRONICS3 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-IIntroduction: 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-IIThyristors: 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-IIIDC 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-IVAC 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.


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 LABORATORY1.5 Credit (0-0-3)

Course Objectives:

1. To write MATLAB programs for digital signal processing applications.2. To write C programs for 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 characteristicb. Chebshev type I characteristicc. Chebshev type II characteristic

8. Design IIR filter using impulse invariance method with

a. Butterworth characteristicb. Chebshev type I characteristicc. Chebshev type II characteristic

9. Design FIR filter using windowing method.10. Design FIR filters 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 LABORATORY1.5 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 SYSTEMS4 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 of pole placement design.

UNIT-IDesign of Feedback Control Systems: Concepts of design and compensation, cascade compensation networks, phase-lead and phase-lag control design approaches using both root locus plots and Bode diagrams.

13 Hrs.UNIT-IIControl 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-IIIControl 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-IVNonlinear System Analysis: Some common nonlinear system behaviors, common nonlinearities 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.


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 CONTROL4 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 computers based control schemes. 4. To study the construction, characteristics and P&I Diagrams.

UNIT-IIntroduction 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-IIController 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 and control system networks. Distributed Digital Control System: Advantages of digital computer control, process control requirements of computers.

13 Hrs.UNIT-IVControl Loop Characteristics: Introduction, control system configuration, multivariable control systems, control system quality, stability, and process loop tuning. P & ID Symbols and Diagrams: 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 SYSTEMS4 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-IAmplitude Modulation: Time-Domain Description, Frequency domain description, Generation of 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-IIAngle 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-IIIPulse 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-IVDigital 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 generation and demodulation of AM and FM. Ability to apply aspects of signal sampling Ability to appreciate need for DPCM, DM and ADM Ability to use coherent 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 INSTRUMENTATION4 Credits (3-2-0)

Course Objectives:1. To understand the concepts of virtual instrumentation.2. To learn graphical programming concepts using Lab VIEW.3. To become competent in data acquisition and instrument control.

UNIT-IVirtual 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 Lab VIEW: 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.


UNIT-IIModular 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.


UNIT-IIIStructures: 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.


UNIT-IVProcess 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.


Total: 40 Hrs. Theory24 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, “Lab VIEW 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-IOverview 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-IIWorking 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-IIIMaterials 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-IVMicrosystem 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.

UIT672E: ROBOTICS3 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-IIntroduction 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-IILinks, 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-IIISensing 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-IVImage 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 arm configurations 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 MICROCONTROLLER3 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 microcontroller3. To understand the assembly programs and C programs.

UNIT-IEmbedded 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-IIInstruction 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 control10 Hrs.

UNIT-IIIFunctions, 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-IVTimers: Watchdog timers, Basic timer1, Timer A, Timer B, Selection of timers, Setting the real-time clocks. Communication: Communication peripherals in MSP430, Serial peripheral interface, SPI with USI and USCI, Applications of SPI, I2C, Applications of I2C, 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 ENGINEERING3 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-IReliability 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-IIIHazard 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-IVMaintainability and Availability: System down time, inherent availability, achieved availability, 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 continuous

improvement Ability to conduct process capability studies and process capability analysis and interpret the

output 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 the Workplace. 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 INTELLIGENCE3 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-IIntroduction: 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-IIIntroduction 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-IIIKnowledge 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-IVMachine Learning: Supervised and unsupervised learning, Decision trees, Statistical learning models, Learning with complete data - Naive Bayes models, Learning with hidden data – EM algorithm, Reinforcement learning.

10 Hrs.

Total: 40 Hrs.

Course Outcomes:

Ability to interpret modern view of AI and its application based on agent philosophy Ability to use 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 PROCESSING3 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-IIntroduction to Biomedical Signals: Nature of biomedical signals, Classification of biomedical signals, 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-IIDynamic 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-IIIData Reduction: Turning point algorithm, Fan algorithm, AZTEC algorithm, Huffman and modified 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-IVSpectral 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 NETWORKS3 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-IIntroduction: Uses of computer networks, Network hardware, Network software, and Reference models .The Physical Layer: The theoretical basis for data communication, Guided transmission media, Wireless transmission.

10 Hrs.UNIT-IIThe Data Link Layer: Data link layer design issues, Error detection and correction, Elementary data 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 control algorithm. The Transport Layer: The transport services, Elements of transport protocol.

10 Hrs.UNIT-IVNetwork 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”, 5thEdition, PHI 2 William Stallings, “Cryptography and Network Security” 4th Edition, Pearson

UIT684E: : LINEAR ALGEBRA3 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 applies linear algebra to Chemistry, Economics and Engineering.

UNIT-IMatrices 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-IIVector 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-IIIOrthogonality: Orthogonal vector and subspaces, Cosines and projections onto lines, projections and least squares, Orthogonal bases, Gram-Schmidt.

10 Hrs.UNIT-IVDeterminants: 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 eAt , 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 LABORATORY1 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/Simulink1. 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 SIMULINK6. Simulation of second order system with Proportional-Plus-Derivative controller in MATLAB

and SIMULINK7. 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 LABORATORY1.5 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.

Experiments1. 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 AUTOMATION4 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-IIntroduction 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-IIPLC 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-IIITimer 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-IVSupervisory 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 and Industrial 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 COMPONENTS3 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-IA.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-IIProcess 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-IIIControl 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-IVControl 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 of hydraulic 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, 5 th

Edition, 1999.3. L.R. Driskoll, "Control Valve Selection and Sizing", ISA Publishing, 1983.

Reference Books:1. B.G. Liptak, “Instrument Engineers Hand Book”, 3rdEdition, CRCPress,1995.2. Nagrath I.J., Gopal M, “Control System Engineering”, 3rdEdition, PHI,2003.

UIT753C: NEURAL NETWORKS AND FUZZY LOGIC4 Credits(4-0-0)

Course Objectives:1. To make students understand about Biological Neural Network, differences between Biological

and Artificial 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 obtain knowledge about fuzzy inference system and their application to real time system and

the models based on fuzzy system.

UNIT-IIntroduction 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-IICompetitive 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-IIIHopfield 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-IVClassical 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 RBF functionality 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 Publishing

Company, 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 WRITING3 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-ICommunication 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-IIWriting 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-IIIConstituents 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-IVResearch 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: RENEWABLE ENERGY3 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-IIntroduction 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-IISolar 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-IIIBiomass 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-IVEnergy 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-Conventional Sources of Energy”, 4th 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 and Applications”,

Alpha Science International Ltd., New Delhi, 2006.

UIT772E: WIRELESS COMMUNICATIONS3 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-IEvolution 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-IIWireless Network Architecture and Operation: Cellular concept, Cell fundamentals, Capacity expansion techniques, Cellular backbone networks, Mobility management, Radio resources and power

management Wireless network security. CDMA: technology and overview.10 Hrs.

UNIT-IIIGSM and TDMA: Techniques, GSM system overview, GSM Network and system Architecture, GSM channel concept. GSM identities, GSM system operations, (Traffic cases), Call handoff, Roaming, GSM Protocol architecture, TDMA systems.

10Hrs.UNIT-IVWireless 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, PAN, MAN.

10 Hrs.


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”, Thomson Learning, 2007.3. David Tse, Pramod Viswanath, “Fundamentals Of Wireless Communication”, Cambridge, 2005.

UIT773E: MEDICAL IMAGING TECHNIQUES3 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 performs segmentation techniques.4. To discuss the various representation and description schemes.5. To discuss the different object recognition methods and different imaging techniques.

UNIT-IIntroduction: 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-IIIRadio Nuclide Imaging: Interaction of nuclear particles and matter, nuclear sources, Radionuclide generators, Nuclear radiation detectors, Rectilinear scanner, scintillation camera, SPECT, PET.

10Hrs.UNIT-IVMagnetic 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 SYSTEMS3 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-IIntroduction 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-IIProcess 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-IIIMemory 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-IVFile 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 identify issues 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 DESIGN3 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-IIntroduction 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-IIProgramming 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-IIIHardware 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-IVEmbedded 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: VLSI DESIGN3 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-IIntroduction 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-IIMOS 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-IIISubsystem 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-IVSemiconductor memories: Introduction, Dynamic random access memory, static random access 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”,

3rdEdition, Tata McGraw Hill.

Reference Books:1. S. M. Sze, “VLSI Technology”, 2ndEdition, Tata McGraw Hill.

UIT783E: PROCESS MODELING AND SIMULATION3 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-IIntroduction 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-IIProcess Modeling: Development of grey box models. Empirical model building, Statistical model calibration and validation. Population balance models. Examples.

10 Hrs.UNIT-IIISolutions 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-IVSolutions 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 PROCESSING3 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-IDigital 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-IIImage 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-IIIImage 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-IVImage Compression: Need for data compression, Huffman, Run length encoding, Shift codes, arithmetic coding, Vector quantization, Transform coding, JPEG standard, MPEG.

10 Hrs.


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, 2ndEdition, 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 CONTROLLABORATORY

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: LASER AND OPTICAL INSTRUMENTATION4 Credits (4-0-0)

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-IFundamentals of Lasers: Emission and absorption of radiation, Einstein relations, absorption of radiation, population inversion, optical feedback, threshold conditions-laser losses, line shape function, laser modes. Doped and Semi conductor Lasers: Properties of laser light, Classes of laser, Doped insulator lasers –Nd:YAG laser, Ruby laser, Semiconductor lasers – basics, threshold current density for semiconductor lasers, power output of semiconductor lasers, heterojunction lasers, quantum well lasers.

13 Hrs

UNIT-IIGas,ionandmolecular Lasers: Gas lasers: Atomic lasers- He-Ne laser, Ion laser-Argon laser, Molecular laser-CO2 laser, other molecular lasers, liquid dye lasers, Single mode operation, frequency

stabilization, mode locking, Q-switching. Laser applications: Measurement of distance - Interferometric methods, beam modulation telemetry, pulse echo techniques. Holography-principle, applications of holography, holographic computer memories. Laser induced nuclear fusion.

13 Hrs

UNIT-IIIOptical Fibers: Introduction, fiber benefits, areas of application, structure of fiber, propagation of light in fibers, principles of fiber optics, mode theory of optical propagation, fiber specification, types of fiber: step index fiber, graded index fiber, multimode and single mode fiber, material and preparation systems of optical fibers, Optical source: LED- Principle, construction, working and materials.

13 Hrs

UNIT-IVOptical Detectors: Photo detectors- photo multiplier tube, photo diode, PIN diode, avalanche diode, photo transistor, Optical fiber sensors: Phase and polarization fiber sensors, ring with multiturn fiber coil, optical fluid level detector, optical fiber flow sensors, optical displacement sensors, optical displacement Moirefringe modulation sensors, microbend optical fiber sensors, intrinsic fiber sensors measurement, current measurement by single-mode optical fiber sensors, fluro-optic temperature sensors, photoelastic pressure sensors, laser Doppler velocimeter using optical fiber.

13 HrsTotal: 52 Hrs.

Course Outcomes:Ability to use lasers for different applicationsKnowledge about the fundamentals of optical fibers and optical sensors.

TEXT BOOKS:1. Optoelectronics: An Introduction - Wilson and Hawkes, 2nd Edition, Prentice-Hall of India,

2001.2. Optoelectronics and Fiber Optics Communication – C.K.Sarkar and D.C. Sarkar, New Age Int.

Pub., 2004.3. Lasers and Optical Fiber Communications- P.Sarah,I.K. International Publishung House Pvt.

Ltd., 2008.

REFERENCE BOOKS:.1. Wilson & Hawkes, “Laser Principles and Applications”, 2nd Edition, PHI.

2. OrazioSvelto, “Principles of Lasers”, 5th Edition, Springer

UIT871E:C# PROGRAMMING AND .NET3 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-IThe 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-IIC# 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-IIIObject- 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-IVInterfaces 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 builds 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 PROCESSORS3 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-IAn 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-IIThe 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-IIIArchitectural 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-IVArchitectural 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”,2ndEdition,Pearson.

UIT873E: DIGITAL CONTROL SYSTEMS3 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 discrete data

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-ISignal 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-IIDesign 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-IIIDigital 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-IVDigital 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 Edition, Tata McGraw Hill, 2009.

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 TECHNIQUES3 Credits (3-0-0)

Course Objectives:1. To introduce the problem and classification of optimization2. To learn the methods of constrained minimization.

UNIT-IIntroduction 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-IIClassical 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-IIIOne-dimensional Unconstrained minimization: Elimination methods – unrestricted search method – Fibonacci method – Interpolation methods –Quadratic interpolation and cubic interpolation methods.

10 Hrs.UNIT-IVUnconstrained 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 SYSTEMS3 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-IIntroduction: 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-IIRelational 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-IIIDatabase 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-IVTransaction 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”, 5 thEdition,

Pearson Education.

Reference Books:1. Ramakrishanan Gehrke, “ Database Management Systems”, 3rdEdition, McGraw Hill Higher

Education.2. C. J. Date, “An Introduction to Data base systems”, Addision Wesley, 4th Edition.

UIT882E:AIRCRAFT INSTRUMENTATION3 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-IIntroduction: 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-IIIGyroscopic 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-IVEngine 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 AUTOMATION3 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-IAdvanced 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-IISystem 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-IIIIndustrial 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-IVApplication 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 RECOGNITION3 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-IIntroduction: 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-IINon-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-IIISyntactic 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-IVFeed-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 2 nd

Edition, 2001.

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