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DEPARTMENT OF TELECOMMUNICATION ENGINEERING Learning Objectives: An understanding of the fundamental courses necessary to attain proficiency in the field of Telecommunication Engineering. A clear comprehension of multi-disciplinary and inter- disciplinary nature of application in Telecommunication engineering and providing a framework for fostering such work. Introducing state of art in the field of Telecommunication engineering by providing avenues for experimentation and learning core and allied courses. Providing the students with a sense of responsibility towards peers, elders and society so that they apply the acquired skills in finding solutions to engineering problems impacting day to day life. Developing students to demonstrate leadership in diverse fields of Engineering. Outcome: Familiarity with the basic concepts of engineering and their application to Telecommunication domain. Ability to apply the acquired knowledge to set up and conduct experiments to validate and verify solutions to engineering problems. Aptitude to understand the requirements of modern day communication system and analyze the trade off in design and implementation of such systems. Use of mathematical concepts needed for modeling, analysis and design of communication systems. PESIT Student Handbook 2016-17 Telecommunication Engg. VII & VIII …….…………………… 1

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Page 1: 7 & 8 Semester

DEPARTMENT OF TELECOMMUNICATION ENGINEERING

Learning Objectives:

An understanding of the fundamental courses necessary to attain proficiency in the field of Telecommunication Engineering.

A clear comprehension of multi-disciplinary and inter-disciplinary nature of application in Telecommunication engineering and providing a framework for fostering such work.

Introducing state of art in the field of Telecommunication engineering by providing avenues for experimentation and learning core and allied courses.

Providing the students with a sense of responsibility towards peers, elders and society so that they apply the acquired skills in finding solutions to engineering problems impacting day to day life.

Developing students to demonstrate leadership in diverse fields of Engineering.

Outcome:

Familiarity with the basic concepts of engineering and their application to Telecommunication domain.

Ability to apply the acquired knowledge to set up and conduct experiments to validate and verify solutions to engineering problems.

Aptitude to understand the requirements of modern day communication system and analyze the trade off in design and implementation of such systems.

Use of mathematical concepts needed for modeling, analysis and design of communication systems.

Exhibit leadership and team work effectively with high standards of integrity, personal accountability and respect for others.

Ability to pursue careers in Research, Engineering and Management.

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Scheme for BATCH 2013-2017

Scheme of VII Semester# Course Code Course Title L* T* P* Credits Page No

1. 13TE401 Computer communication networks 4 0 0 4 62. 13TE402 Embedded systems 4 0 0 4 93. 13TE403 Antenna and wave propagation 4 0 0 4 104. 13TE404 Computer communication networks Lab 0 0 2 1 125. 13TE405 Embedded systems lab 0 0 2 1 126. 13TE406 Antenna and wave propagation Lab 0 0 2 1 13

7. 13TE407 Special Topic 2 2

7.13TE4XX

Elective-2(Soft Core) 4 0 0 4 15

8.13TE3XX/13IE5XX Elective-3 / Institute Elective*** 4 0 0 4 20

Total 20 0 08 25

Scheme of VIII Semester

# CourseCode Course Title L* T* P* Credits Page No

1. 13TE48X Course work 3 0 0 3 952. 13TE495 Project work 0 0 0 18

Total 3 0 0 21

L*: Lecturer in Hrs P*: Practical in Hrs T*: Tutorials in Hrs

Elective-2(Soft Core)

# CourseCode Course Title L* T* P* Credits Page No

1. 13TE408 Optical Fiber Communication 4 0 0 4 152. 13TE409 Wireless Communication 4 0 0 4 173. 13TE410 Satellite Communication 4 0 0 4 18

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ELECTIVE - 3

Sl No Course Code Course Title L* T* P* Credits Page

No1. 13EC312 Computer Organization 4 0 0 4 212. 13EC313 DSP Architecture 4 0 0 4 223. 13TE314 Digital Control systems 4 0 0 4 244. 13EC315 Discrete Structures 4 0 0 4 255. 13EC316 Pattern Recognition 4 0 0 4 266. 13EC318 Introduction to Operating Systems 4 0 0 4 287. 13EC319 Real Time Systems 4 0 0 4 308. 13EC320 Digital Image Processing 4 0 0 4 319. 13TE321 Fuzzy Systems 4 0 0 4 32

10. 13TE322 Artificial Intelligence 4 0 0 4 3311. 13TE323 Linear Systems 4 0 0 4 3512. 13EC325 CAD Tools for VLSI Design 4 0 0 4 3713. 13TE326 Multimedia Communication 4 0 0 4 3814. 13TE327 Statistical Signal Processing 4 0 0 4 3915. 13EC328 Error Control Coding 4 0 0 4 4016. 13TE329 Radar and Navigation Systems 4 0 0 4 4217. 13TE330 Network Security 4 0 0 4 4318. 13TE361 Adaptive Signal Processing 4 0 0 4 4419. 13EC363 Speech Processing 4 0 0 4 4620. 13EC364 Low Power VLSI Design 4 0 0 4 4821. 13TE365 Artificial Neural Networks 4 0 0 4 4922. 13TE369 Digital Switching & Logic Design 4 0 0 4 5123. 13EC370 Solid State Devices 4 0 0 4 5224. 13EC371 High Speed Digital Design 4 0 0 4 5325. 13TE372 VLSI for DSP 4 0 0 4 5426. 13EC373 Industrial Electronics 4 0 0 4 5527. 13TE374 Multirate Systems & Filter Banks 4 0 0 4 5628. 13TE375 Detection & Estimation 4 0 0 4 5729. 13TE376** Introduction to JAVA 4 0 0 4 58

30. 13TE377** Elements of Data Structures using C++ 4 0 0 4 60

31. 13TE378** Introduction to C++ 4 0 0 4 6232. 13TE379 Reliability Engineering 4 0 0 4 6533. 13TE380 Engineering Management 4 0 0 4 6634. 13TE381 Adaptive Systems 4 0 0 4 68

L*: Lecturer in Hrs P*: Practical in Hrs T*: Tutorials in Hrs

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** - Proposal to offer as TSDP/ Certificate Course / Summer termINSTITUTE ELECTIVE

# CourseCode Title of the course L* T* P* Credits Page

No1 13IE501 Numerical methods in engineering 4 0 0 4 702 13IE502 Operations research 4 0 0 4 723 13IE503 Material Science 3 0 1 4 744 13IE504 Micro Electro Mechanical Systems 3 1 0 4 755 13IE511 Design of experiments 4 0 0 4 796 13IE512 Cyber laws for engineers 4 0 0 4 817 13IE513 Nanoscience and Nanotechnology 3 0 1 4 838 13IE514 Ship Engineering 4 0 0 4 849 13IE515 Entrepreneurship & Management 4 0 0 4 8610 13IE521 Project management 4 0 0 4 8811 13IE522 Financial Management and Accounting 4 0 0 4 8912 13IE523 Operation management 4 0 0 4 9013 13IE524 Total Quality Management 4 0 0 4 9114 13IE368 Graph theory 4 0 0 4 93

***Institute elective can be taken only once in the curriculum (6th sem OR 7th sem)

COURSE WORK SUBJECTS

# CourseCode Title of the course L* T* P* Credits Page No’s

1 13TE481 Engineering Management 3 0 0 3 952 13TE482 Computer Architecture 3 0 0 3 973 13TE483 Research Methodology 3 0 0 3 984 13EE451B Reliability Engineering 3 0 0 3 99

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VII SEMESTER

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13TE401: COMPUTER COMMUNICATION NETWORKS (4-0-0- 4)

Overall learning Objectives of the course:Upon completing the course, the student will:

be familiar with the fundamentals of data communications; be familiar with various categories of computer networks; be familiar with the layered network architecture; have exposure on physical to transport, application layers ; be familiar with the operation of various protocols and the algorithms used for

designing data networks; know the principles, design, implementation and performance of computer networks.

UNIT – I 09 HoursOVERVIEW:Introduction:Data Communications- Components, Data Representation, Direction of Data Flow Networks- Distributed Processing, Network Criteria, Physical structures, Categories of Networks; Protocols and Standards- Protocols, Standards, Standards Organizations, Internet Standards

Network Models:Layered Tasks-Sender, Receiver and Carrier, Hierarchy, Services. The OSI Model-Layered Architecture, Peer-to-Peer Process, Encapsulation Layers in the OSI Model- Physical layer, Data link layer, Network layer, Transport layer, Session layer, Presentation layer, Application layer, summary of layers TCP/IP Protocol Suite- Physical and Data link layers, Network layer, Transport layer, Application layer.

PHYSICAL LAYER:Transmission Media:Guided Media- Twisted-Pair Cable, Coaxial Cable, Fiber-optic Cable Unguided Media: Wireless- Radio Waves, Microwaves, Infrared

UNIT – II 08 HoursDATA LINK LAYER:Error Detection and Correction: Cyclic Codes- Cyclic Redundancy Check, Polynomials, Cyclic Code Analysis, Advantages of Cyclic Codes, Other Cyclic codes

Data Link Control: Framing -Fixed-Size Framing, Variable-size framing. Flow and Error Control- Flow Control, Error Control

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Protocols:Noiseless Channels-Simplest Protocol, Stop-and -Wait Protocol Noisy Channels- Stop-and-Wait Automatic Repeat Request, Go-Back-N Automatic Repeat Request, Selective Repeat Automatic Repeat Request, Piggybacking HDLC- Configuration and Transfer Modes, Frames, Control field. UNIT – III 10 HoursMultiple Access: Random Access- ALOHA, Carrier Sense Multiple Access (CSMA), Carrier Sense Multiple Access with collision Detection (CSMA/CD), Carrier Sense Multiple Access with collision Avoidance (CSMA/CA)Wired LANs: Ethernet: IEEE standards- Data link layer, Physical layer. Standard Ethernet- MAC Sublayer, Physical Sublayer Changes in the Standard- Bridged Ethernet Switched Ethernet, Full-Duplex Ethernet.Fast Ethernet- MAC Sublayer, Physical Layer Gigabit Ethernet- MAC Sublayer, Physical Layer, Ten-Gigabit Ethernet

Wireless LANs:IEEE 802.11- Architecture, MAC Sublayer, Addressing Mechanism, Physical layer Connecting LANs:Connecting Devices- Passive Hubs, Repeaters, Active Hubs, Bridges, Two-Layer Switches, Routers, Three -Layer Switches Gateway.

UNIT – IV 11 Hours

NETWORK LAYER:Switching:Circuit Switched Networks- Three Phases, Efficiency, Delay, Circuit-Switched Technology in Telephone Networks. Datagram Networks- Routing table, Efficiency, Delay, Datagram Networks in the Internet. Virtual Circuit Networks- Addressing, Three Phases, Efficiency, Delay in Virtual-Circuit Networks, Circuit-Switched Technology in WANs.

Network Layer: Logical AddressingIPv4 Addresses- Address space, Notations, Classful Addressing, Classless Addressing, Network Address Translation (NAT). IPv6 Addresses- Structure, Address space.

Network Layer: Internet Protocol Internetworking- Need for Network Layer, Internet as a Datagram Network, Internet as a Connectionless Network IPv4- Datagram, Fragmentation, Checksum, Options. IPv6- Advantages, Packet Format, Extension Headers.

Network Layer: Delivery, Forwarding, and RoutingDelivery- Direct Versus Indirect Delivery. Forwarding- Forwarding Techniques, Forwarding Process, Routing Table. Unicast Routing Protocols- Optimization, Intra and Interdomain Routing, Distance Vector Routing, Link state Routing, Path vector routing.

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Multicast Routing Protocols- Unicast, Multicast and Broadcast, Applications, Multicast Routing UNIT – V 10 HoursTRANSPORT LAYER:Process to Process Delivery: UDP, TCP Process to process Delivery- Client-Server Paradigm, Multiplexing and Demultiplexing, Connectionless versus Connection-Oriented Service, Reliable versus Unreliable, Three Protocol User Datagram Protocol(UDP)- Well-known ports for UDP, User Datagram, Checksum, UDP Operation, Use of UDP. TCP- TCP services, TCP Features, Segment, A TCP connection, Flow control, Error control, congestion control

APPLICATION LAYER:Domain Name System (DNS):Name Space- Flat Space, Hierarchical Name Space Domain Name Space- Label, Domain Name, Domain Distribution of Name Space- Hierarchy of Name Servers, Zone, Root Server, Primary and Secondary Servers DNS in the Internet- Generic Domain, Country Domains, Inverse Domain Resolution- Resolver, Mapping Names to Addresses, Mapping Address to Names, Recursive Resolution, Iterative Resolution, Caching

Reference Books:1. “Data Communication And Networking”- Behrouz A. Forouzan- Fourth Edition2. “Computer Networks”- Andrew S. Tanenbaum, Fourth Edition 3. “Data & Computer Communications”- William Stallings, Sixth Edition

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13TE402 - EMBEDDED SYSTEMS (4-0-0- 4)

Objectives: This subject gives an overview of the basics of embedded system design. ARM processor fundamentals, embedded systems software, peripherals and embedded software details are also discussed.

UNIT – I 09 HoursEmbedded System components: Introduction to embedded systems, Overview of Embedded system blocks Physical system -Processor and peripherals Embedded software: Tool chains, Boot loader, Device Drivers, Embedded OSARM Processor Fundamentals: Registers, Current program status register, Pipeline, Exceptions, Interrupts and vector table, core extensions, architecture revisions, ARM Processor families

UNIT – II 12 HoursIntroduction to ARM 9 Instruction Set: Data Processing Instructions, Branch Instructions, Load- store Instructions, software Interrupt Instruction, Program status register Instructions, Loading constants ARM Extensions, conditional execution. Introduction to Thumb Instruction set. Programming examples

UNIT – III 12 Hours Overview of Operating Systems & RTOS: Introduction-OS Overview, process management-Process, Process control block, Process states(5 State model), Inter Process Communication using LINUX-Pipes, FIFO,Concurrency issues (Race condition, Deadlock, Starvation), Semaphore and Programming examples. Threads-Threads and programming example, Process Scheduling-Basic concepts, Scheduling Criteria, Scheduling Algorithms (FCFS, SJF, RR, Priority Scheduling) , Memory management-Protection, Relocation, Partition (Fixed, Dynamic), Paging, Segmentation. Introduction to RTOS features.

UNIT – IV 11 HoursPeripherals: Overview of Device drivers, I2C, SPI, UART, USB, SDIO overview.

UNIT – V 08 HoursCase Study of Embedded Systems

Reference Books:1. “ARM System Developer’s Guide – Designing and optimizing system software”, Andrew N

SLOSS, Dominic SYMES, Chris Wright, Morgan Kaufmann Publishers.2. “ARM system architecture”, Stephen B. Furber, Addison Wesly, 1996. 3.“Introduction to embedded systems”- Shibu K.V., Mc Graw Hill.4.“Operating System concepts” – Silberschatz, Galvin, Gagne, 8th edition Wiley,20105.“Operating systems –internals and design principles”-William Stallings , 6 th Edition Pearson Prentice Hall, 2009Extensive use of technical datasheets and on-line documentation for Unit 1, Unit 3 to 5

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13TE403: ANTENNA AND WAVE PROPAGATION (4-0-0-4)

Overall learning Objectives of the course:In the early days of electronics, we would have considered an ANTENNA (AERIAL) to be little more than a piece of wire strung between two trees or upright poles. In those days, technicians assumed that longer antennas automatically provided better reception than shorter antennas. It is also believed that a mysterious MEDIUM filled all space, and that an antenna used this medium to send and receive its energy. These two assumptions have since been discarded. Modern antennas have evolved to the point that highly directional, specially designed antennas are used to relay worldwide communications in space through the use of satellites and Earth station antennas. Present transmission theories are based on the assumption that space itself is the only medium necessary to propagate (transmit) radio energy.Upon completion of this subject we will be able to learn the following:Fundamentals of Antennas, Radiation Mechanism, Vector potential functions, Electric and magnetic fields for electric and magnetic current sources solution of vector potential wave equation. Duality, Reciprocity and reaction theorems, Linear Wire and loop antennas, Circular, loop antennas, Antenna Arrays, Travelling wave and broad band antennas, Aperture, Reflector and lens antennas, Babinets’s principles, pyramidal horns, parabolic and Cassegrain reflector antennas, Propagation of Electro-magnetic waves. UNIT – I 11 HoursBasics of Antenna: Introduction, types of antennas, radiation mechanism. Radiation pattern, isotropic, directional, and omnidirectional patterns, antennas. Principal patterns, radiation pattern lobes, field regions, radians and steradian. Radiation power density and intensity, directivity and gain, antenna and beam efficiency, half power beamwidth and bandwidth. Input impedance. Antenna aperture and effective length. Friis transmission equation. Radiation integrals, vector potentials. Relation between vector and scalar potential: Lorentz condition. Solution for inhomogeneous vector potential wave equation. Far field radiation. Duality and reciprocity theorems.

UNIT – II 11 Hours Dipole & loop antennas: Infinitesimal current element (or Hertzian dipole): radiated fields, power density and radiation resistance, near field region, intermediate field region, far field region, directivity. Small dipole: region separation, far field approximations. Finite length dipole: current distribution, radiated fields, power density, radiation intensity and radiation resistance, directivity, input resistance. Half wavelength dipole. Hertzian dipole in the ‘x’ and ‘y’ direction Loop antennas. Small circular loop- radiated fields, power density and radiation resistance, near field region, far field region, radiation intensity and directivity. Circular loop of constant current- radiated fields, power density and radiation resistance, radiation intensity and directivity.

UNIT – III 10 HoursArrays: Two element array: pattern multiplication, ‘N’ element linear array: Array factor, uniform amplitude and spacing, broadside array, ordinary endfire array, phased array, Hansen

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Woodyard endfire array, directivity of broadside, ordinary endfire and Hansen Woodyard array.N element linear array: uniform spacing non uniform amplitude- array factor Rectangular planar array: array factor UNIT – IV 10 HoursSpecial antennas: Yagi Uda array, helical antenna: axial mode helix, normal mode helix, Log Periodic Array microstrip patch antenna. Aperture Antennas: Introduction,field equivalence principle, sheet current distribution in free space, radiation pattern as Fourier transform of current distribution. Horn antenna: pyramidal horn. Reflector antenna: prime focus fed parabolic reflector, Cassegrain reflector configuration

UNIT – V 10 HoursPropagation of Radio Waves: Surface wave propagation, Wave tilt, Attenuation of surface wave, Space Waves, Space wave with directional antennas, space wave over spherical earth. Ionospheric propagation Structure of ionosphere, dielectric constant of ionosphere, group velocity for wave in plasma, wave propagation through ionosphere, skip distance, virtual height, attenuation of waves in ionosphere, maximum usable frequency.

Reference Books:1. “Antenna theory analysis and design”, C.A.Balanis, John Wiley & sons2. ”Antennas and Propagation”, A.R.Harish & M.Sachidananda, Oxford University Press3. ”Electromagnetic Waves”, R K Shevgaonkar

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13TE404: COMPUTER COMMUNICATION NETWORKS LAB (0-0-1-1)

1. Simulate bit/character stuffing & de-stuffing using HDLC 2. Simulate the Shortest Path Algorithm3. Encryption and Decryption of a given message using Substitution / Transposition method4. Find Minimum Spanning Tree of a Subset5. Compute Polynomial Code Checksum for CRC-CCITT6. Using Fork function, create TWO processes and communicate between them. 7. Communicate between TWO PCs, using simple socket function.8. Experiments using hardware-Asynchronous and Synchronous communication using RS-

232/optical fiber/Twisted pair/RJ-45.9. Demonstrate the operations of rlogin and telnet.10. Demonstrate the operations of FTP, mailbox.11. Open ended Experiment

13TE405 - EMBEDDED SYSTEM LAB (0-0-1-1)

1. Write an ALP to find the GCD (Greatest Common Divisor), with and without conditional instruction.

2. Write a program for convolution of two sequences with and without MLA instruction3. Write a program to multiply two matrices with and without MLA instruction.4. Write a program to

a) copy a string from source to destination. b) reverse a string

5. Write a program to open a file and using fork system call create a child process. Let both the parent and child process write to the same file. Check the output of the file.

6. Write a program to communicate between two processes using(a) PIPE (b) FIFO.

7. Write a program to synchronize shared memory usage using Semaphore. 8. (a) Write a simple program to create three threads.

(b) Perform 3x3 matrices addition using threads.9. Write a program to scan the keypad, assign own values to the keys and display the key

pressed.10. I/O operation of ARM kit using GPIO LED port11. Write a program to display

(a) Stream of characters on LCD display left to right(b) 4 digit numerical values on LCD display right to left

12. Write a program to interface Seven segment display.

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13TE406: ANTENNA AND WAVE PROPAGATION LAB (0-0-1-1)

LIST OF EXPERIMENTS:

1. Matlab implementation to obtain radiation pattern of an typical antenna systems: wire antenna aperture antenna.

2. Matlab implementation to obtain radiation pattern of an Arrays.

3. Measurement techniques of radiation characteristics of micro strip Dipole antenna.

4. Measurement of Radiation pattern, beam width & of micro strip yagi Antenna.

5. Determination of polarization of an antenna.

6. Determination of Axial ratio of a circularly polarized antenna.

7. Measurement of Gain by substitution method.

8. Measurement of Absolute gain of an antenna.

9. a) Familiarization to FEKO simulator.

b).Analysis of Horn antenna using FEKO simulator.

10. Analysis of directional coupler using Feko simulator

11. Analysis of Magic Tee using Feko simulator

12. Design and analysis of antenna using Feko simulator

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ELECTIVE-2 (SOFTCORE)

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13TE408: OPTICAL FIBER COMMUNICATION (4-0-0-4)

Overall learning Objectives of the course:This subject provides the fundamental principles for understanding and applying a wide range of optical fiber technologies to modern communication networks. The sequence of topics takes the student systematically from the underlying principles of components and their interactions with other devices in an optical fiber link, through descriptions of the architectures and performance characteristics of complex optical links. By mastering these fundamental topics the student will be prepared not only to contribute to disciplines such as current optical devices, optical communication link, equipment designs but also to understand quickly any further technology developments for future enhanced networks.

UNIT – I 10 HoursOverview of Optical Fiber Communication - Motivations for Lightwave Communications, Optical Spectral Bands, Fundamental Data Communication Concepts Network Information Rates, WDM Concepts, Key elements of optical Fiber Systems Optical Fibers: Structures, Waveguiding and Fabrication The Nature of Light, Basic Optical Laws and Definitions, Optical Fiber Modes and Configurations, Mode Theory for Circular Waveguides, Single mode Fibers. Graded- index Fibers, Fiber Materials, Fiber fabrication, Fiber Optic cables Signal Degradation in optical fibers: Attenuation, Signal Distortion in Optical fibers, Characteristics of Single Mode fibers International Standards, Specialty Fibers

UNIT – II 10 HoursOptical Sources - Review of Semiconductor Physics, Light Emitting diodes, Laser Diodes Power Launching and Coupling Source to Fiber Power Launching, Lensing schemes for Coupling Improvement, Fiber- to- Fiber joints, LED coupling to Single Mode Fibers, Fiber Splicing, Optical fiber connectors (Qualitative) Photodetectors Physical principles of photodiodes, Photodetector Noise, Detector Response Time, Avalanche Multiplication Noise, Structure for InGaAs APDs, Temperature effect on Avalanche gain, Comparison of Photodetectors.

UNIT – III 10 HoursOptical Receiver Operation Fundamental Receiver Operation, Digital Receiver Performance, Eye Diagrams, Coherent Detection, Burst Mode Receivers, Analog Receivers Digital Links Point to point links, Link Power Budget, Rise -Time Budget Analog links – Overview of Analog links, Carrier to Noise Ratio, Multichannel Transmission Techniques, RF over Fiber, Radio over Fiber links, Microwave Photonics UNIT – IV 11 HoursWDM Concepts and Components – Overview of WDM, Passive Optical couplers, Isolators and circulators, Fiber Grating filters, Dielectric thin film filters, Phased array based devices, Diffraction Gratings Active optical components, and Tunable Light sources

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Optical Amplifiers Basic applications and types of Optical amplifiers, Semiconductor Optical Amplifiers. Erbium doped fiber amplifiers, Raman Amplifiers, Wideband Optical Amplifiers UNIT – V 11 HoursNonlinear Effects General overview of Nonlinearities, Effective Length and Area, Stimulated Raman scattering, Stimulated Brillouin scattering, Self Phase modulation, Cross Phase modulation. Four wave mixing FWM mitigation, Wavelength Converters, Solitons Optical Networks – Network concepts, Network topologies, SONET / SDH, High speed light wave links, Optical Add/Drop multiplexing, optical switching, WDM Network examples

Text book: 1. Optical Fiber Communications Gerd Keiser Fourth Edition Mc Graw -Hill, 2008 Reference books: 1. ”Fiber -Optic Communication Systems” – Govind P Agrawal Third Edition John Wiley and

sons 2. “Optical Fiber Communication” – John M Senior, Second Edition, Prentice Hall of India

13TE409: WIRELESS COMMUNICATION (4-0-0-4)

Overall learning objectives of the course: This subject gives an overview of the basics of the Wireless systems, cellular systems , propagation models ,Channel coding and multiple access techniques to enhance the students to take up advanced study or research . UNIT – I 10 HoursIntroduction to Wireless Communication Systems: Evolution of Mobile Radio Communications, Mobile Radio Systems around the worldExamples of Wireless Communication Systems, Comparison of Common Wireless Communication Systems, Trends in Cellular Radio and Personal CommunicationsModern Wireless Communication Systems: 2G cellular Networks, 2G cellular Networks, WLL and LMDS, WLANS, Bluetooth and PAN, 3G and future generation networks 4G, 5G UNIT – II 10 HoursThe Cellular Concept – System Design Fundamentals: Channel Assignment Strategies and Handoff Strategies, Interference and System Capacity, Trunking and Grade of Service, Improving Coverage and Capacity in Cellular Systems UNIT – III 10 Hours

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Mobile Radio Propagation: Large Scale Path Loss: Radio Wave Propagation,Free Space Propagation Model, The 3 Basic propagation mechanisms, Reflection and Ground reflection model, Diffraction and scatteringMobile Radio Propagation: Small Scale Fading and Multipath: Small scale multipath propagation, Impulse response model, Small scale multipath measurements, Parameters of Mobile Multipath Channels, Types of small scale fading. UNIT – IV 12 HoursEqualization, Diversity and Channel coding: Fundamentals of Equalization, Training A Generic Adaptive Equalizer, Equalizers in a Communications Receiver, Survey of Equalization Techniques, Linear Equalizers, Nonlinear Equalization, Algorithm for Adaptive Equalization, Fractionally Spaced Equalizers, Diversity Techniques, RAKE Receiver, Interleaving

UNIT – V 10 HoursMultiple Access Techniques for Wireless Communication: Introduction, FDMA, TDMA, SDMA, Capacity of cellular systemWireless Systems and Standards: Global System for Mobile (GSM), CDMA Digital Cellular Standard (IS – 95)

Text Book: 1. “Wireless Communication Principles & Practice”, Theodore S.Rappaport, 2nd Edition, 2005,

Prentice Hall of IndiaReference Books: 1. “Mobile Communication Engineering Theory & applications” – William C Y Lee, 2 nd Ed, 2002,

Mc Graw Hill

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13TE410: SATELLITE COMMUNICATION (4-0-0-4)

Overall learning objectives of the course:The course gives an insight into Satellite communication fundamentals. It involves an in-depth study of orbital theory, satellite Station keeping, satellite launch, link power budget design. FDMA, TDMA concepts, transponders, satellite TVRO, CATV, MATV, LNB, antenna etc. Modern VSAT systems and Global positioning system concepts. Direct broadcast satellite television and satellite radio systems design and installation considerations are also met.Provide an in-depth treatment of satellite communication systems operation and planning. Provide in-depth understanding of modern satellite multiple accesses, modulation and coding schemes. Review the state of the art in new research areas such as speech and video coding, satellite networking and satellite personal communications.

UNIT – I 14 HoursIntroduction: A brief History of Satellite Communications, Satellite Communications in 2000, Overview Orbital Mechanics and Launchers: Orbital Mechanics, Look Angle Determination, Look Angle Determination, Launches and Launch vehicles, Orbital effects in Communication system performanceSatellites: Attitude and orbit control systems (AOCS), Telemetry, tracking, command (TT&C) and monitoring, Power systems, communication subsystems, transponders, Spacecraft antennas, Equipment reliability and space qualification UNIT – II 08 HoursSatellite Link Design: Basic Transmission Theory, Noise Figure and Noise Temperature and G/T ratio, Satellite down link Design

UNIT – III 10 HoursMultiple Access: Access Techniques: FDMA, TDMA, CDMAError Control for Digital Satellite Links: Channel capacity and error detection coding, Linear block codes, Linear block codes, Convolution codes, Implementation of error detection on satellite links

UNIT – IV 13 HoursVSAT Systems: Introduction, Overview, Network Architectures, Access Control Protocols, Basic Techniques, VSAT Earth Station Engineering, Calculation of Link Margins for a VSAT Star Network, System Design Procedure, New Developments LEO & Non – geostationary systems: Introduction, Orbit Considerations, Coverage and Frequency Considerations, Delay and Throughput Considerations, System Considerations, Operational NGSO Constellation Designs.

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UNIT – V 07 HoursGEO,Direct broadcast TV & Radio: C Band and Ku Band Home Satellite TV, Digital DBS TV, System Design, Link Budget, Error Control, Master Control Station and Uplink, Installation of DBS – TV Antennas, Satellite Radio BroadcastingSatellite Navigation & Global Positioning System: Radio and Satellite Navigation, GPS Position Location Principles, GPS Receivers and Codes, Satellite Signal Acquisition, GPS Navigation Message, Signal levels, Timing Accuracy, Receiver Operation, GPS C/A Code Accuracy, Differential GPS

Text Book:1. “Satellite Communication “, Timothy Pratt, Charles W.Bostian, John Wiley & sons, Ed 2002

Reference Books:1. “Satellite Communication”, Dennis Roddy, TMH, 3rd Ed, 20012. “Digital Satellite Communication“,T.T. Ha, Macmillan

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ELECTIVE-3

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13EC312: COMPUTER ORGANISATION (4-0-0-4)

Overall learning objectives of the course:This course helps the students to understand the fundamental concepts of CPU, Control Unit, Memory Unit, I/O Unit-organization and architecture, Microprogramming & instruction set. Advanced topics such as risk, super scalar processors, parallel processing and pipelining are introduced. It forms a basis for advanced courses in computer architecture, pipe lined processors, superscalar and fast computing processors, distributed processing which increases the performance and efficiency of computer processing. UNIT – I 10 Hours Evolution of computer, basic structure and operational and operational concepts of computers performance considerationsInstruction set and programs: prerequisites for assembly language programming, addressing modes, instruction set- classification, machine instruction decoding, case study – Intel processor

UNIT – II 10 HoursInput/Output organization - Accessing I/O devices, program controlled I/O, Interrupts and supporting software and hardware, DMA, design of interface circuits, commercial bus standards

UNIT – III 10 Hours Memory system - Basic concepts and organization of memory, cache and virtual memory concepts, secondary storage devices

UNIT – IV 12 Hours Arithmetic Unit - high speed adders, Booth’s algorithm for multiplication, high speed multipliers, division, arithmetic operations on floating point numbers (IEEE std)Processing unit-Instruction execution, internal functional units and their interconnection, hardware for generating internal control signals, microprogramming approach

UNIT – V 10 Hours Pipelining - concept, various factors affecting the performance and methods of overcoming them, hardware and software implications, influence of pipelining on instruction set design, introduction to superscalar processors

Text Book: 1. “Computer organization”, Carl Hamecher, Z Vranesic & Zaky, MH, Fifth edition Reference Books: 1. “Computer Architecture and Organisation”, J.P. Hayes, Tata McGraw-Hill, Second edition

(Chapter1: 1.2for Unit1)2. “Computer system architecture” Morris Mano, PHI, Second edition, Unit III: Chapter 12

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13EC313: DSP ARCHITECTURE (4-0-0-4)

Overall learning objectives of the course:1. To understand the issues involved in implementing DSP algorithms on processors.2. To understand and appreciate the features provided by various architectures in supporting

common DSP tasks.3. To understand the implementation of common DSP tasks on processors. UNIT – I 10 HoursArchitectures for programmable Digital Signal-Processing Devices: Introduction, Basic Architectural Features, DSP Computational Building Blocks, Bus Architecture and Memory, Data Addressing Capabilities, Address Generation Unit, Programmability and Program Execution, Speed Issues, Features for External Interfacing. UNIT – II 12 HoursProgrammable Digital Signal Processors: Introduction, Commercial Digital Signal-Processing Devices, Data Addressing Modes of TMS320C54xx Digital Signal Processors, Data Addressing Modes of TMS320C54xx processors, Memory Space of TMS320C54xx processors, program Control, TMS320C54xx Instructions And programming, On-Chip peripherals, interrupts of TMS320C54xx Processors, pipeline Operation of TMS320C54xx processors. UNIT – III 10 HoursImplementations of Basic DSP Algorithms: Introduction, The Q-notation, FIR Filters, IIR Filters, Interpolation Filters, Decimation Filters, PID Controller, Adaptive Filters, 2-D Signal processing.

UNIT – IV 10 HoursImplementation of FFT Algorithms: Introduction, an FFT Algorithm for DFT Computation, a Butterfly Computation, Overflow and Scaling, Bit-Reversed Index Generation, FFT Implementation on the TMS320C54xx, And Computation of the Signal Spectrum Interfacing Memory and Parallel I/O Peripherals to Programmable DSP Devices: Introduction, Memory Space Organization, External Bus Interfacing Signals, Memory Interface, Parallel I/O Interface, programmed I/O, Interrupts and I/O, Direct Memory Access (DMA). UNIT – V 10 HoursInterfacing Serial Converters to a Programmable DSP Devices: Introduction, Synchronous Serial Interface, A multi-channel Buffered Serial Port (McBSP), McBSP programming, A CODEC Interface Circuit, CODEC Programming, ACODE-DSP Interface Example. Applications of programmable DSP Devices: Introduction, A DSP System, DSP-Based Bio-telemetry Receiver, A Speech Processing System an Image Processing System.

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Text Book: 1. Digital Signal processing” Avatar Singh and S Srinivasan, Thomson Learning, 2004 Reference Books:1. “Digital Signal processing” A Practical Approach-Ifeachor E. C., jervis B.W., 2e, Pearson Education, 20022. “Digital Signal processors”, B Venkataramani and M Bhaskar, TMH, 2002

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13TE314: DIGITAL CONTROL SYSTEMS (4-0-0-4) Overall learning objectives of the course: At the end of the course, students will be able to

analyze sampled-data systems; synthesize sampled-data systems using various approaches;

UNIT – I 11 HoursIntroduction: Digital control systems, quantizing and quantization error, data acquisition, conversion, and distribution systems. Discrete-time Systems Analysis: Impulse sampling and data hold, convolution integral method, reconstructing the original signal, pulse transfer function, realization.

UNIT – II 11 HoursDiscrete-time Systems Design: Mapping the s- and z-planes, stability analysis, transient and steady-state response analysis, design based on root locus, frequency-response and analytical methods.

UNIT – III 10 HoursState Space Analysis: State space representations, solution of state space equations, pulse transfer function matrix, discretization, Lyapunov stability analysis.

UNIT – IV 11 HoursState-Space Design: Controllability, observability, useful transformations, design via pole placement, state observers, servo systems.

UNIT – V 09 HoursQuadratic Optimal Control Systems: Quadratic optimal control, steady-state quadratic optimal control, quadratic optimal control of a servo system.

Text Book:1. “Discrete Time Control Systems,” K. Ogata, Pearson Education Asia, 2nd edition, 2001:

Sections

Reference Books:1. “Digital control of dynamic systems,” G. F. Franklin, J. D. Powell and M. Workman, Pearson

Education Asia, 3rd edition, 2000.2. “Digital Control System Analysis and Design,” C.L. Phillips and H.T. Nagle, 2 nd edition,

Prentice Hall, 1990.

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13EC315: DISCRETE STRUCTURES (4-0-0)

Pre-requisite: NIL

UNIT – I 09 Hours Introduction: Set theory, mappings, set of one-one mappings, integers, mathematical induction. UNIT – II 12 HoursGroups: Definition, subgroups, Lagrange’s theorem, homomorphisms and normal subgroups, factor groups, homomorphism theorems, Cauchy’s theorem, direct products.

UNIT – III 09 HoursSymmetric Group: Preliminaries, cycle decomposition, odd and even permutation.

UNIT – IV 12 Hours

Ring Theory: Definition, simple results, ideals, homomorphisms, quotient rings, maximal ideals, polynomial rings, polynomials over the rationals, field of quotients of an integral domain.

UNIT – V 10 HoursFields: Vector spaces, field extensions, finite extensions, constructability, roots of polynomials.

Reference Books:1. “Topics in Algebra,” I.N. Herstein, Prentice Hall, 3rd edition, 1995.

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13EC316: PATTERN RECOGNITION (4-0-0-4)

Overall learning objectives of the course: At the end of the course, students will be able to

Understand the major concepts and techniques in pattern recognition. Acquire abilities to solve problems in specialized application areas such as speech

recognition, signal classification, etc.

UNIT – I 11 HoursIntroduction: Machine perception; example; pattern recognition systems; the design cycle; learning and adaptation.Bayesian Decision Theory: Introduction; Bayesian decision theory – continuous features; minimum-error-rate classification; classifiers, discriminant functions, normal density; discriminant functions for the normal density; Bayesian decision theory – discrete features; missing and noisy features.

UNIT – II 12 HoursMaximum-likelihood and Bayesian Parameters Estimation: Maximum-likelihood estimation; Bayesian estimation; Bayesian parameter estimation: Gaussian case and general theory; problems of dimensionality; component analysis and discriminants; Hidden Markov models. UNIT - III 09 HoursNon-parametric Techniques: Density estimation; Parzen windows; kn-nearest-neighbour estimation; nearest-neighbour rule; metrics and nearest-neighbour classification; approximation by series expansions.

UNIT – IV 09 HoursLinear Discriminant Functions: Linear discriminant functions and decision surfaces; generalized linear discriminant functions; two-category linearly separable case; minimizing the perceptron criterion function; relaxation procedures; nonseparable behaviour; minimum squared-error procedures; Ho-Kashyap procedures; multicategory generalizations.

UNIT – V 11 HoursUnsupervised Learning and Clustering: Mixture densities and identifiability; maximum-likelihood estimates; application to normal mixtures; unsupervised Bayesian learning; data description and clustering; criterion functions for clustering; hierarchical clustering; on-line clustering; component analysis; low-dimensional representation and multidimensional scaling.

Text Book: 1. “Pattern Classification” Richard O. Duda, Peter E. Hart and David G. Stork, 2nd edition, John

Wiley, 2001

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Reference Books: 1. “Pattern Recognition and Image Analysis,” Eart Gose, Richard Johnsonburg and Steve Joust,

Prentice-Hall of India, 2003.2. “Pattern Recognition and Machine Learning,” Christopher M. Bishop, 3rd edition, Springer,

2007.

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13EC318: INTRODUCTION TO OPERATING SYSTEMS (4-0-0-4)

Overall learning objectives of the course: of this curriculum is to understand an operating system, and its design & implementation concepts. And also study various types of operating systems and its application to real world.

UNIT – I 12 Hours Introduction and Overview of Operating System : Operating System definition, Goals of an operating System, Operation of an O S, Resource allocation, User interface related functions, classes of operating systems, O S & computer systems, Batch processing systems, Multiprogramming systems, Timesharing systems, Real Time Operating System, Distributed Operating systemsStructure of the Operating Systems: Operation of an OS, Structure of supervisor (kernel), Configuring & installing the supervisor (kernel), Operating System with Monolithic Structure, layered design, Virtual machine operating systems, Kernel based OS, and Micro kernel based O S. UNIT – II 12 HoursProcess Management: Process concepts, Programmer’s view of process, System’s view of process, Interacting process, Threads, processes in UNIX, Threads in Solaries. Memory management: static and dynamic memory allocation, memory allocation to a process, memory allocation preliminaries, Contiguous and non contiguous allocation to programs, memory allocation to program controlled data, Kernel memory allocation. UNIT – III 12 HoursVirtual Memory: Virtual memory basics, Virtual memory using paging, Demand paging, page replacement, page replacement policies, Memory allocation to programs, page sharing, Unix virtual memory, File systems: File system and IOCS, Files and directories, Overview of I/O organization, Fundamental File organizations, Interface between file system and IOCS, Allocation of disk space, Implementing file access, Unix file system

UNIT – IV 08 Hours Scheduling: Fundamentals of scheduling, Non preemptive scheduling policies, Preemptive scheduling policies, Long term, Medium & short term scheduling, Real time scheduling, scheduling in Unix UNIT – V 08 HoursMessage passing: Overview of message passing, implementing message passing, Mailboxes, Inter process communication in UNIX.

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Text Book: 1. “Operating Systems: A concept Based Approach” D.M Dhamdhere, TMH 2nd Ed 2006

Reference Books: 1. “Operating System concepts” Silberschatz and Galvin. John Wiley, 5th Ed, 2001.2. “Operating System –internals and Design Systems “Pearson Education, 4th Ed, 2006

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13EC319: REAL TIME SYSTEMS (4-0-0-4)

Overall learning objectives of the course:The subject deals with real time computing, tasks assignment, fault tolerant scheduling. Basic concepts of Real Time Operating systems and few case studies to understand and to design embedded systems.

UNIT – I 12 Hours Introduction: Issues in Real Time Computing, Task Classes and other Issues Characterizing Real Time Systems and Tasks: Performance Measures for Real Time Systems Estimating Program Run Times Task Assignment and Scheduling: Classical Uniprocessor Scheduling Algorithms, Uniprocessor Scheduling of IRIS Tasks, Task Assignment, Fault- tolerant scheduling

UNIT – II 11 Hours Real Time Communication: Network Topologies, ProtocolsClock Synchronization: Clock, Impacts of Faults, and Fault-Tolerant Synchronization in hardware, Synchronization in software

UNIT – III 10 Hours Real Time Operating Systems (RTOS): OS Services, I/O Subsystems, Network OS, Real- Time and Embedded System OS, RTOS Task Scheduling Models, interrupt latency and response times of the tasks as performance metrics, 15 point strategy for Synchronization, Embedded Linux Internals, OS Security Issues.

UNIT – IV 08 Hours Real Time Operating Systems Tools: Use of Mucos/OS-II, Use of Vx Works UNIT – V 11 HoursCase Studies with RTOS: Case Studies of Vending Machines, case study of Coding for sending Applications, Embedded System for Control Systems and Smart Cards

Reference Books: 1. “Real Time System”, C M Krishna and Kang G Shin, MGH. 1997.2. “Embedded Systems Architecture, Programming and Design” Raj Kamal, TMH, 2003.

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13EC320: DIGITAL IMAGE PROCESSING (4-0-0-4)

Overall learning objectives of the course:At the end of the course, students will be able to

understand theoretical foundations for of digital image processing; appreciate modern applications; and, implement algorithms for image enhancement, filtering, restoration.

UNIT – I 11 HoursDigital Image Fundamentals: What is digital Image Processing, Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Elements of Visual Perception. Image Sensing and Acquisition, Image Sampling and Quantization, Some Basic Relationships Between Pixels, Linear and Nonlinear operations.

UNIT – II 11 Hours Image Transforms: 2-D orthogonal and Unitary transforms, 1-d and 2-d DFT, Cosine, Sine, Hadamard, Haar, Slant, Karhunen-loeve, singular value Decomposition.

UNIT – III 10 Hours Image Enhancement: Point operations, histogram modeling, spatial operations, transform operations, multispectral image enhancement.

UNIT – IV 10 HoursImage filtering and Restoration: Image observation models, inverse and Wiener filtering, other Fourier domain filters, smoothing and spline interpolation, least square filters. UNIT – V 10 HoursColor image processing: Color Fundamentals, Color Models, Pseudocolor Image Processing, Basics of Full-Color Image Processing, Color Transformations, Smoothing and Sharpening, Noise in Color Images.

Reference Books:1. “Fundamentals of Digital Image Processing”, Anil K. Jain, PHI, 2005.2. “Digital Image Processing”, R.Gonzalaz and Woods, Addition Wesley/Pearson Education

2nd Ed, 2005.3. “Digital Image Processing”, William. K.Pratt, Wiley Interscience, 2nd Ed, 1991.

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13TE321: FUZZY SYSTEMS (4-0-0-4)

Overall learning and objectives of the course:At the end of the course, students will be able to

Understand the principals of fuzzy systems; Design fuzzy systems using various approaches; and, Learn the applications of fuzzy systems in classification, pattern recognition, and control

systems.

UNIT – I 11 HoursFuzzy Sets, Operations and Relations: Fuzzy systems; examples; fuzzy sets; basic concepts; operations; fuzzy complement, union, and intersection; averaging operators; fuzzy relations; compositions; extension principle.

UNIT – II 09 HoursFuzzy Rules and Logic: Linguistic variables and hedges; fuzzy if-then rules; fuzzy logic; compositional rule; properties of the implication rules; fuzzy rule base; fuzzy inference engine.

UNIT – III 11 HoursFuzzy Systems: Fuzzifiers; defuzzifiers; formulas for some classes of fuzzy systems; fuzzy systems as universal approximators; preliminary concepts; design of fuzzy systems; approximation accuracy of the fuzzy system; fuzzy system with second-order approximation accuracy; approximation accuracy of fuzzy systems with maximum defuzzifier.

UNIT – IV 10 HoursDesign of Fuzzy Systems: Design of fuzzy systems using a table look-up scheme, gradient descent training, recursive least squares and clustering.

UNIT – V 11 HoursApplications: Fuzzy Classification: Classification by equivalence relations; cluster analysis; cluster validity; c-means clustering; classification metric; hardening the fuzzy c-partition. Fuzzy Pattern Recognition: Feature analysis; partitions of the feature space; single sample identification; mutlifeature pattern recognition; image processing. Fuzzy Control Systems: Simple and general fuzzy logic controllers; special forms of fuzzy logic control system models; examples; inverted pendulum.

Reference Books:1. “A Course in Fuzzy Systems and Control,” L.-X. Wang, Prentice Hall, 1997. 2. “Fuzzy Logic with Engineering Applications,” T. J. Ross, McGraw-Hill International Edition,

1995. 3. “Fuzzy Sets, Uncertainty and Information,” G.J. Klir and T.A. Folger, Prentice Hall of India,

2003.

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13TE322: ARTIFICIAL INTELLIGENCE (4-0-0-4)

Overall learning objectives of the course:This course attempts to present artificial intelligence through a study of its analysis and application to some problems. The following are the important generic features of all divisions of the field. 1. Using machines (read ‘computers’) to mimic human reasoning, pattern recognition,

learning, or some other form of inference. 2. Focusing on problems that are not obviously amenable to algorithmic solutions. This

approach brings in heuristic methods.3. Solving problems using inexact, missing, or poorly defined information through

representational formalisms.4. Reasoning about the significant qualitative features of a situation.5. Exploring some methods to deal with issues of semantics and syntactic forms.6. Getting answers that are neither exact nor optimal, yet acceptable. 7. Using a large body of domain-specific knowledge in solving problems as a basis for decision

support systems.

UNIT – I 10 Hours The Predicate Calculus: Introduction, The propositional calculus, the predicate calculus using inference rules to produce predicate calculus expressions.

UNIT – II 09 HoursStructures and Strategies for State Space Search: Introduction, Graph theory, Strategies for state space, using the state space to represent reasoning with the predicate calculus.

UNIT – III 13 HoursHeuristics, Control and Implementation of State Space Search: Introduction, an algorithm for heuristic approach, admissibility, monotonicity and informedness, using heuristics in games, complexity issues. Recursion based search, pattern directed search, production systems. UNIT – IV 08 Hours Knowledge representation: Issues in knowledge representation, a brief history of AI representational systems, conceptual graphs – a network language, alternatives to explicit representation, agent based and distributed problem solving. UNIT – V 12 Hours Automated Reasoning and Natural language: Introduction to weak methods in theorem proving, the general problem and difference tables, resolution theorem proving, prolog and automated reasoning. Role of knowledge in language understanding, deconstructing language – a symbolic analysis, syntax 559, syntax and knowledge with ATN parsers.

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Reference Books:1. “Artificial Intelligence,” G. F. Luger, 4th edition, Pearson Education, 2002.2. “Artificial Intelligence,” E. Rich and Knight, Tata McGraw Hill, 1991. 3. “Introduction to Artificial Intelligence,” Charniak and McDermott, Pearson Education, 1999.

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13TE323: LINEAR SYSTEMS (4-0-0-4)

Overall learning objectives of the course:An engineer or scientist has to deal with systems often non-linear and time varying. Further these systems are dynamical and are modeled as, described by and analyzed by the common machinery of differential equations. It is natural to tackle a simpler problem before we can attempt to solver a tougher one. Further, instead of treating seemingly different branches of science and engineering in isolation, it is logical to get a hold over the common principles underling all of them from a ‘systems’ perspective. Thus a study of Linear Systems Theory lays the foundations to the study of nonlinear systems and hence, it plays a central role in our context. This course is designed to introduce the principles and tools which are essential to the study of systems as a whole. It takes the student through a guided tour of the principles of linear algebra and its applications to systems through the widely used state space approach. Analysis and design methods follow as the course progresses.

UNIT– I 10 HoursState-space Descriptions (continuous-time and discrete-time): Motivation; concept of state; physical systems and state assignment; canonical forms for SISO linear time-invariant systems; linear time-varying systems; linearization of nonlinear systems; in-put-output maps.

UNIT– II 11 HoursStability of Solutions (continuous-time and discrete-time): Existence and unique-ness; properties of state-transition matrix; computation of state-transition matrix (linear time-invariant and linear time-varying); modal decomposition; external stability and in-ternal stability; equilibrium points; stability in the sense of Lyapunov; Lyapunov equa-tion.

UNIT– III 11 HoursControllability and Observability (continuous-time and discrete-time): Linear time-invariant systems: motivation, controllability and observability, irreducibility, minimal-ity, reachability and constructability; transformations among canonical realisations; sub-spaces; Kalman decomposition; Popov-Belevitch-Hautus tests; effect of sampling. Lin-ear time-varying systems: tests for controllability and observability; minimum-energy control.

UNIT– IV 10 HoursState-variable Feedback (continuous-time and discrete-time): Motivation; state-vari-able feedback and modal controllability; dead-beat control; quadratic regulator: determ-inistic and stochastic.

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UNIT– V 10 HoursObservers and Compensators (continuous-time and discrete-time): Asymptotic ob-servers; dead-beat observers; Kalman filter; combined observer-controller compensat-ors; separation principle; reduced-order observers; direct transfer-function design.

Text Book:1. “Linear Systems” T. Kailath, Prentice Hall, 1980

Reference Books:1. “Linear Systems,” Panos J. Antsaklis and Anthony N. Michel, Birkhauser, 2006.2. “Modern Control Theory,” William T. Brogan, 3rd edition, Prentice-Hall, 1990.

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13EC325: CAD TOOLS FOR VLSI DESIGN (4-0-0-4)

Overall learning objectives of the course: The course is designed to make students understand the basic principles of CAD tools and various concepts related to designing of VLSI circuits using CAD TOOLs. UNIT – I 10 HoursIntroduction to VLSI Methodologies - A Quick Tour of VLSI Design Automation tools, Algorithmic Graph theory and computational complexity

UNIT – II 12 Hours Tractable and Intractable problems, optimization and decision problems, complexity classes and consequences, general purpose methods for combinatorial optimization

UNIT – III 10 Hours Layout compaction: design rules, symbolic layout, problem formulation, algorithms for constrain graph compaction.

UNIT – IV 10 Hours Placement and partitioning: circuit representation, wire length estimation, placement problems and algorithms, partitioning using K-L algorithm

UNIT – V 10 HoursFloor planning: concepts, terminology and representation, optimization problems, shape functions, floor plan sizing.

Text Book:1. “Algorithms for VLSI Design Automation”, S.H.Gerez, 1998.wiley student edition.

Reference Book:1. “Algorithms for VLSI Physical Design Automation”, N.A. Shervani, 1999.Kluwer Academic

publication.

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13TE326: MULTIMEDIA COMMUNICATION (4-0-0-4)

Overall learning objectives of the course: This subject helps the students to understand the basics of multimedia communications which includes Graphics and Image Representation, Fundamental Concepts in Video, Basics of Digital Audio, Lossless Compression Algorithms, Lossy Compression Algorithm, Image Compression Standards, MPEG Video Coding. UNIT – I 12 HoursIntroduction to Multimedia: What is multimedia, Multimedia and Hypermedia, WWW Graphics and Image Representation: Graphics/ Image data types, popular file formats. Fundamental Concepts in Video: Types of video Signals, Analog video, Digital video. Basics of Digital Audio: Digitization of sound, MIDI, Quantization and Transmission of Audio.

UNIT – II 10 HoursLossless Compression Algorithms: Introduction, Run-length coding, variable- length coding, Dictionary-Based coding, Arithmetic coding, lossless image compression

UNIT – III 10 HoursLossy Compression Algorithm: Introduction, Distortion measures, rate distortion theory, Quantization, Transform coding, Wavelet-Based coding, embedded zero tree wavelet coefficients, SPIHT

UNIT – IV 10 HoursImage Compression Standards: The JPEG standard, The JPEG2000 standard, JPEG LS standard, JBIG UNIT – V 10 HoursMPEG Video Coding: basic video compression techniques-H.261, MPEG-1, MPEG-2, MPEG-4

Text Book: 1. “Fundamentals of Multimedia” – Ze-Nian Li and Mark S. Drew. Pearson Education 2004

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13TE327: STATISTICAL SIGNAL PROCESSING (4-0-0-4)

Overall learning objectives of the course:1. To understand the applications of random processes in a practical context.2. To understand the fundamentals of spectrum estimation.3. To understand the fundamentals of array processing.

UNIT – I 09 HoursDiscrete-time Random Processes: Random variables and processes, filtering random processes, spectral factorization, ARMA, AR and MA and harmonic processes.

UNIT – II 11 HoursSignal Modeling: Least squares method, Pade approximation, Prony's method, finite data records, stochastic models. Levinson-Durbin recursion.

UNIT – III 12 HoursWiener Filters: FIR and IIR Wiener filters; discrete Kalman filter. Adaptive Filters: FIR adaptive filters (steepest descent and LMS)

UNIT – IV 11 HoursSpectrum Estimation: Nonparametric methods, minimum-variance spectrum estimation, maximum entropy method, parametric methods, frequency estimation, principal components spectrum estimation.

UNIT – V 09 HoursArray Processing: Array fundamentals, beamforming, optimum array processing, performance considerations, adaptive beamforming, linearly constrained minimum-variance beamformers, sidelobe cancellers, angle estimation, space-time adaptive processing.

Reference Books:1. “Statistical Digital Signal Processing and Modeling,” M. H. Hayes, John Wiley, 2002:2. “Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive

Filtering and Array Processing,” D.G. Manolakis, V.K. Ingle, and S.M. Kogon, McGraw-Hill International Edition, 2000:

3. “Optimum Array Processing” , H. L. Van Trees, John Wiley, 2002. 4. “Algorithms for Statistical Signal Processing,” J.G. Proakis, C.M. Rader, F. Ling, C.L. Nikias, M.

Moonen and I.K. Proudler, Pearson Education Asia, 2002

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13EC328: ERROR CONTROL CODING (4-0-0-4)

Overall learning objectives of the course: This subject introduces the students to reliable digital transmission and storage which is a major concern in today’s high speed digital communication systems. Various types of error control coding techniques and applications are dealt with. Pre requisite for this is fundamental course in Algebra, Random Processes, Information theory and coding and communication systems. UNIT – I 10 Hours Introduction to linear algebra: Groups, Fields ,Binary Field Arithmetic, Construction of Galois Field GF (2m) and its basic Properties, Computation using Galois Field GF (2 m) Arithmetic, Vector spaces and Matrices.Linear Block Codes: Reed – Muller codes, The (24, 12) Golay code, Product codes and Interleaved codes.

UNIT – II 10 Hours Cyclic Codes: Introduction, Generator and Parity check Polynomials, Encoding using Multiplication circuits, Systematic Cyclic codes, Encoding using Feed back shift register circuits, Generator matrix for Cyclic codes, Syndrome computation and Error detection, Meggitt decoder, Error trapping decoding, Cyclic Hamming codes, The (23, 12) Golay code, Shortened cyclic codes.

UNIT – III 10 Hours BCH codes: Binary primitive BCH codes, Decoding procedures, Implementation of Galois field Arithmetic, Implementation of Error correction, Non – binary BCH codes, q – ary Linear Block Codes, Primitive BCH codes over GF (q), Reed – Solomon Codes, Decoding of Non – Binary BCH and RS codes: The Berlekamp - Massey Algorithm

UNIT – IV 12 Hours Majority logic decodable codes: One – Step Majority logic decoding, one – step Majority logic decodable Codes, Two – step Majority logic decoding, Multiple – step Majority logic decoding. Encoding of Convolutional codes, Structural properties, Distance properties ,Viterbi Decoding Algorithm for decoding Convolutional codes Viterbi Decoding Algorithm for decoding, Soft – output Viterbi Algorithm, Stack and Fano sequential decoding Algorithms, Majority logic decoding UNIT – V 10 Hours Burst Error correcting Codes: Burst and Random error correcting codes, Concept of Inter – leaving, cyclic codes for Burst Error correction – Fire codes, Convolutional codes for Burst Error correction.

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Reference Books: 1. “Error Control Coding” Shu Lin & Daniel J. Costello, Jr. Pearson / Prentice Hall, Second

Edition, 2004. 2. “The theory of error correcting codes” F.J. Mac Williams and N.J.A. Slone, North Holland,

1977

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13TE329: RADAR AND NAVIGATION SYSTEMS (4-0-0-4)

Overall learning objectives of the course: Unit 1 - deals with introduction to radar systems, basic principle of working with simple

block diagram and range equation.Unit 2 - deals with MTI and Pulse Doppler radar and tracking radar.Unit 3 - deals with detection of signals at the receiver in the presence of noise using

probability density function and various detection criteria. Using matched filter for improving SNR.

Unit 4 - deals with introduction to clutter. Concepts of land clutter, sea and weather clutter and methods to reject the clutter is discussed.

Unit 5 - deals functions of receiver, different types of antenna and design principle,Duplexer and displays.

UNIT – I 11 HoursIntroduction to radars: Basic radar, Radar block diagram, radar frequencies, applications of radar, the origins of radar. Radar equation: Radar range equation, radar cross section of targets, System losses

UNIT – II 12 HoursMTI and PULSE Doppler radar: Introduction to Doppler and MTI radar, delay line cancellers, Digital MTI processing, Moving Target detector, Pulse Doppler radar.Tracking radars: Introduction, Monopulse tracking, Conical scan and sequential lobing, tracking in range.

UNIT – III 10 HoursDetection of signals in noise: Detection of signals in noise, receiver noise and SNR, probabilities of detection and false alarm, transmitted power, pulse repetition frequency Matched filter receiver, detection criteria, Detectors, Automatic detection UNIT – IV 08 HoursRadar clutter: Introduction, Surface clutter, land clutter, sea clutter.

UNIT – V 11 HoursRadar reception. The radar super heterodyne receiver, receiver noise figure, radar antenna, Functions of radar antenna, reflector antenna, Electronically steered phased array antenna, Duplexers and receiver protectors, radar displays

Text Book: 1. “Introduction to Radar Systems” – Merrill I. Skolnik, Third edition, Tata Mc Graw Hill

publicationReference Books:1. “Radar Principles” – Peyton Z. Peebles, JR, A wiley – Interscience publications.2. Radar Handbook - Merrill I. Skolnik

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13TE330: NETWORK SECURITY (4-0-0-4)

Overall learning objectives of the course: The explosive growth in computer systems and their interconnections via networks has increased the dependence of both organizations and individuals on the information stored and communicated using these systems. This in turn has led to the heightened awareness of the need to protect data and resources from disclosure, to guarantee the authenticity of data and messages, and to protect systems from network based attacks. Here, students are introduced to the concepts of Cryptography and network security.

UNIT – I 09 HoursIntroduction: Security Goals, Attacks, Services and Mechanisms.Traditional Symmetric – Key Ciphers : Introduction, Substitution cipher, Transposition cipher , Stream and Block ciphers.

UNIT – II 11 HoursIntroduction to Modern Symmetric-Key Ciphers: Modern Block Ciphers ,Modern Stream Ciphers.Data Encryption Standard (DES): Introduction, DES Structure, DES Analysis, Multiple DES, Security of DES.Advanced Encryption Standard (AES): Introduction, Transformations, Key expansion, Ciphers.Asymmetric Key Cryptography: Introduction, RSA Cryptosystem, Elliptic curve cryptosystems.

UNIT – III 12 HoursIntegrity and Authentication: Message Integrity, Message Authentication.Cryptographic Hash Functions: Introduction,SHA-512.Digital signature: Comparison, Process, Services, Attacks on Digital Signature , RSA Digital signature scheme , Digital signature Standard.

UNIT – IV 11 HoursWeb Security: Web Security Consideration, Security socket layer (SSL) and Transport layer security, Secure Electronic Transaction. Intruders, Intrusion Detection, Password Management.

UNIT – V 09 HoursMalicious Software: Viruses and Related Threats, Virus Countermeasures.Fire Walls: Firewalls Design Principles, Trusted Systems.

Reference Books:1. “Cryptography and Network Security”, Behrouz A. Forouzan, 2007,TMH.2. “Cryptography and Network Security”, William Stalling, 2003,Pearson Education. 3. “Cryptography and Network Security”, Atul Kahate, 2003, TMH.

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13TE361: ADAPTIVE SIGNAL PROCESSING (4-0-0-4)

Overall learning objectives of the course: At the end of the course, students will be able to understand the principles of adaptive systems and its properties; analyze and implement algorithms for adaptations; and use adaptive algorithms in important practical situations.

UNIT – I 08 hoursAdaptive Systems: Definition and Characteristics; areas of application; general properties; open- and closed-loop adaptation; applications of closed-loop adaptation. Adaptive Linear Combiner: General description; input signal and weight vectors; desired response and error; the performance function; gradient and minimum mean-square error; alternative expression of the gradient; decorrelation of error and input components.

UNIT – II 10 hoursProperties of the Quadratic Performance Surface: Normal form of the input correlation matrix; eigenvalues and eigenvectors of the input correlation matrix; geometrical significance of eigenvectors and eigenvalues. Searching the Performance Surface: Methods of searching the performance surface; basic ideas of gradient search methods; a simple gradient search algorithm and its solution; stability and rate of convergence; the learning curve; gradient search by Newton’s Method; Newton’s Method in multidimensional space; gradient search by the Method of Steepest Descent; comparison of learning curves.

UNIT – III 11 hoursGradient Estimation and Its Effect on Adaptation: Gradient component estimation by derivative measurement; the performance penalty; derivative measurements and performance penalties with multiple weights; variance of the gradient estimate; effects on the weight-vector solution; excess mean-square error and time constants; misadjustment; comparative performance of Newton’s and Steepest-Descent Methods; total misadjustment and other practical considerations.

UNIT – IV 12 hoursLMS Algorithm: Derivation of the LMS algorithm; convergence of the weight vector; an example of convergence; learning curve; noise in the weight-vector solution; misadjustment; performance. Other Algorithms: Discrete Kalman filter; normalized and other LMS-based adaptive filters; recursive least squares algorithm.

UNIT – V 11 hoursApplications: Adaptive Modeling and System Identification: General description; adaptive modeling of a multipath communication channel; adaptive modeling in FIR digital filter synthesis. Adaptive Interference Cancellation: Concept of adaptive noise cancelling; stationary noise-cancelling solutions; effects of signal components in the reference input; adaptive interference canceler as a notch filter; adaptive interference canceler as high-pass filter.

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Adaptive Arrays and Beamforming: Sidelobe cancellation; beamforming with a pilot signal; spatial configurations; adaptive algorithms.

Reference Books:1. “Adaptive Signal Processing,” B. Widrow and S. D. Stearns, Pearson Education Asia, 1985: 2. “Statistical Digital Signal Processing and Modeling,” M. H. Hayes, John Wiley, 20023. “Adaptive Filter Theory,” S. Haykin, Pearson Education Asia, 4th edition, 2002.

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13EC363: SPEECH PROCESSING (4-0-0-4)

Overall learning Objectives of the course:The goal of the course is to teach students basics of speech signal processing, analysis and modeling of speech signals driven by ever demanding applications to cater present needs.The course objective is to provide an understanding of discrete-time speech signal processing techniques that are motivated by speech model building, as well as applications such as speech modification, speech enhancement, speech coding, speech recognition, biometrics etc.. see how signal processing algorithms are driven by both time- and frequency-domain representations of speech production, as well as by aspects of speech perception.

UNIT – I 12 Hours Speech Production and Acoustic Phonetics: Anatomy and Physiology of Speech Organs; Articulatory phonetics; Acoustic phonetics; Acoustic theory of speech production, Lossless tube models, and Digital models for speech signals; Coarticulation and Prosody. Hearing and Speech perception: Sound Perception; Response of the ear to complex Stimuli; Perceptually important Features of Speech signals; Models of Speech Perception; Vowel Perception and consonant perception; Duration and phonemic cue; Intonation and other aspects of speech perception.

UNIT – II 16 Hours Time domain models for speech processing: Time dependent processing of speech, Short time energy and average magnitude, Short time average zero crossing rate, Speech vs. silence discrimination, Pitch period estimation, Short time autocorrelation function, Short time average magnitude difference function, Median smoothing. Short time Fourier analysis and synthesis: Linear Filtering interpretation, Filter bank summation method, Overlap addition method, Design of digital filter banks, Implementation using FFT, Spectrographic displays, Pitch detection, Frequency-Domain Pitch period estimation, Analysis by synthesis, Analysis synthesis systems. UNIT – III 08 Hours Linear predictive coding of speech: All-pole modeling of Deterministic Signals; Linear prediction analysis of Stochastic speech sounds; Basic principles of linear predictive analysis, Solution of LPC equations, Prediction error signal, Frequency domain interpretation, Relation between the various speech parameters, Synthesis based on all-pole modeling.

UNIT – IV 08 HoursHomomorphic Signal processing: Homomorphic systems for convolution, Complex cepstrum of speech like sequences, spectral-root Homomorphic filtering; Short-time Homomorphic analysis of periodic sequences, Short-time speech analysis/synthesis using Homomorphic processing, Contrasting Linear prediction and Homomorphic filtering, Pitch detection, Formant estimation, and Homomorphic vocoder.

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UNIT – V 08 Hours Speech synthesis and Recognition: Principles of speech synthesis, Synthesizer methods, Synthesis of intonation. Automatic Speech Recognition: Introduction, Speech recognition vs. Speaker recognition, Signal processing and analysis methods, Pattern comparison techniques, Hidden Markov Models.

Reference books:1. “Speech Communications: Human and Machine,” D. O’Shaughnessy, Universities Press,

2001.2. “Digital Processing of Speech Signals," L. R. Rabiner and R. W. Schafer, Pearson Education

(Asia) Pte. Ltd., 2004. 3. “Discrete-time Speech Signal Processing: Principles and Practice,” Thomas F. Quatieri,

Pearson Education (Singapore) Pvt. Ltd., 2002.

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13EC364: LOW POWER VLSI DESIGN (4-0-0-4)

Overall learning Objectives of the course:The goal of the course is to teach students the principles of design, analysis and modeling and optimization of VLSI designs for low power.The course objective is to The study of CMOS low power design, modeling and optimization basics To study Power consumption estimation using and various methods of reduction of

leakage and dynamic powers.

UNIT – I 09 HoursIntroduction: Need for low power VLSI chips, charging and discharging capacitance, short circuit current in CMOS circuits, CMOS leakage current, static current, basic principles of low power design, low power figure of merits.

UNIT – II 11 HoursSimulation Power analysis: SPICE circuit simulators, gate level logic simulation, capacitive power estimation, static state power, gate level capacitance estimation, architecture level analysis, data correlation analysis in DSP systems. Monte Carlo simulation. Probabilistic power analysis, Random logic signals, probability & frequency, probabilistic power analysis techniques, signal entropy.

UNIT – III 11 HoursLow Power Design: Circuit: transistor and gate sizing, equivalent pin ordering, network restructuring, special latches and flip-flops, low power cell library. Logic: Gate reorganization, logic encoding, state machine encoding, pre-computation logic

UNIT – IV 11 HoursLow power Architecture & Systems: Power & performance management, switching activity reduction, parallel architecture with voltage Reduction, flow graph transformation, Adiabatic computation, pass transistor logic synthesis, asynchronous circuits

UNIT – V 10 HoursSpecial Techniques: Power reduction in clock networks, CMOS floating node, low power bus, delay balancing, low power techniques for SRAM design

Text Book:1. Practical Low power Digital VLSI Design, Gary K Yeap, Kluwer Academic Publishers,

Reference Book:1. Low power CMOS VLSI Design, Kaushik Roy, and Sharat Prasad, Wley-interscience

Publication

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13TE365: ARTIFICIAL NEURAL NETWORKS (4-0-0-4)

Overall learning objectives of the course: At the end of the course, students will be able to understand the fundamentals of artificial neural networks; analyze multilayer feedfoward neural networks, radial basis function networks, and

recurrent networks; and, implement both supervised and unsupervised learning algorithms.

UNIT – I 10 HoursIntroduction: What is a neural network? Human brain; models of a neuron; neural networks as directed graphs; feedback; network architectures; knowledge representation. Linear Neuron: Adaptive filtering problem; unconstrained optimization techniques; linear least-squares filters; least-mean-square algorithm; learning curves; learning rate annealing techniques.

UNIT – II 12 HoursPerceptron: Single Layer: Perceptron; perceptron convergence theorem; relation between perceptron and Bayes’ classifier for a Gaussian environment. Multilayer: Preliminaries; back-propagation algorithm; XOR problem; heuristics for making the BPA perform better; output representation and decision rule; feature detection; back-propagation and differentiation; Hessian matrix; generalization; approximation of functions; cross-validation; network pruning techniques; virtues and limitation of back-propagation learning; accelerated convergence of back-propagation learning; supervised learning as an optimization problem. UNIT – III 11 HoursRadial-Basis Function Networks: Cover’s theorem on the separability of patterns, interpolation problem, supervised learning as an ill-posed hyersurface reconstruction problem, regularization theory, regularization networks, generalized radial-basis function networks, XOR problem revisited, estimation of the regularization parameter, approximation properties of RBF networks, comparison of RBF networks and multilayer perceptrons; learning strategies.

UNIT – IV 09 HoursLearning Processes: Error-correction learning; memory-based learning; Hebbian learning; competitive learning; Boltzmann learning; credit-assignment problem; learning with and without a teacher.Principal Component Analysis: Some intuitive principles of self-organization; principal components analysis; Hebbian-based maximum eigenfilter; Hebbian-based principal components analysis.

UNIT – V 10 HoursSelf-Organizing Maps: Feature-mapping models; self-organizing map; properties of the feature map; learning vector quantization.

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Recurrent Networks: Recurrent network architectures; state-space model; nonlinear autoregressive with exogenous inputs model; computational power of recurrent networks; learning algorithms; back-propagation through time; real-time recurrent learning.

Text Book: 1. “Neural Networks: A Comprehensive Foundation,” S. Haykin, 2nd edition, Prentice Hall of

India, 2003

Reference Books: 1. “Neural Network Design,” T. Hagan, H.B. Demuth and M. Beale, Thomson Learning, 2002. 2. Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory,” M. M.

Gupta, L. Jin and N. Homma, John Wiley-IEEE Press, 2003.

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13TE369: DIGITAL SWITCHING & LOGIC DESIGN (4-0-0-4)

Pre-requisite: EC II

UNIT – I 08 HoursThreshold Logic: Introductory Concepts, Synthesis of Threshold Networks.

UNIT – II 11 HoursReliable Design and Fault Diagnosis Hazards: Fault Detection in Combinational Circuits, Fault-Location Experiments, Boolean Differences, Fault Detection by Path Sensitizing, Detection of Multiple Faults, Failure-Tolerant Design, Quadded Logic.

UNIT – III 12 HoursCapabilities, Minimization, and Transformation of Sequential Machines: The Finite- State Model, Further Definitions, Capabilities and Limitations of Finite – State Machines, State Equivalence and Machine Minimization, Simplification of Incompletely Specified Machines.

UNIT – IV 11 HoursStructure of Sequential Machines: Introductory Example, State Assignments Using Partitions, The Lattice of closed Partitions, Reductions of the Output Dependency, Input Independence and Autonomous Clocks, Covers and Generation of closed Partitions by state splitting, Information Flow in Sequential Machines, Decompositions, Synthesis of Multiple Machines. UNIT – V 10 HoursState-Identifications and Fault-Detection Experiments: Homing Experiments, Distinguishing Experiments, Machine Identification, Fault-Detection Experiments, Design of Diagnosable Machines, Second Algorithm for the Design of Fault Detection Experiments, Fault-Detection Experiments for Machines which have no Distinguishing Sequences.

Text Book:

1. “Switching and Finite Automata Theory,” Zvi. Kohavi, Tata McGraw Hill, 2nd edition, 2003.

Reference Books:

1. “Digital Circuits and Logic Design,” C. Roth, Jr.2. “Fault Tolerant and Fault Testable Hardware Design, P. K. Lala,Prentice Hall, 1985.3. “Introductory Theory of Computer,” E.V. Krishnamurthy, MacMillan, 1983.4. “Theory of Computer Science: Automata, Languages, and Computation,” Mishra and Chandrasekaran, Prentice Hall of India, 2nd edition, 2004.

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13EC370: SOLID STATE DEVICES (4-0-0-4)

Pre-requisite: NIL

UNIT – I 09 HoursIntroduction: Semiconductors, electromagnetic waves, sub-atomic particles, Maxwell’s equations and constitutive relations, crystal structure.Crystalline Semiconductors: Introduction, the bond picture for semiconductors, the energy band model, the E-K diagram, energy bands in crystals, direct recombination and optical effects.

UNIT – II 11 HoursCarrier Distributions: Introduction, the density of states function, the Maxwell-Boltzmann distribution, the Fermi-Dirac statistics, computations of electron and hole densities, metals, insulators and semiconductors.Charge Considerations in a Semiconductor: Charge neutrality equations, recombination, the Shockely-Read-Hall theory, surface and interface effects, radiative recombination

UNIT – III 10 HoursCurrent Flow in Semiconductors: Introduction, Carrier Scattering and Mobility, The Continuity Equation for Minority Carriers, Band diagrams in Equilibrium and Non-Equilibrium, Solving the Continuity Equation.

UNIT – IV 10 HoursThe p-n Junction: Introduction, Formation of an Abrupt Junction Diode, Analysis of the Space Charge Region in an Abrupt Junction, The Ideal Diode Equation, Second Order Effects in p-n Diode, AC Analysis of a p-n Diode. UNIT – V 12 HoursMIS and MS Structures: Introduction, the MIS Structure, the MIS Capacitor, the Metal-Semiconductor Structure, Schottky Diodes.

Reference Books:1. “Microelectronic Devices,” D. Nagachoudhury,Pearson Education.2. “Semiconductor Physics and Devices: Basic Principles,” D. Neam, McGraw Hill, 2002.

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13EC371: HIGH SPEED DIGITAL DESIGN (4-0-0-4)

Pre-requisite: TLWG, DSD using HDL

UNIT – I 10 HoursIntroduction: Introduction to digital system engineering, Modeling and analysis of wires.

UNIT – II 09 HoursPower and Ground: Power supply network, local regulation, logic loads on chip power distribution, power supply isolation, bypass capacitors.

UNIT – III 09 HoursNoise in Digital System: Noise sources in a digital systems, power supply noise, cross talk, inter-symbol interference, other noise sources, managing noise

UNIT – IV 12 HoursSignaling Conventions: Comparison of transmission systems, consideration in transmission system design, signaling modes for transmission lines, signal encoding.Advanced Signaling Techniques: Signaling over RC interconnect, driving lossy LC lines

UNIT – V 12 HoursTiming conventions and Synchronization: Introduction, considerations in timing designs, timing fundamentals, encoding timing, signaling and events, open loop synchronous timing, closer loop timing, clock distribution, synchronization strategies, synchronization fundamentals, synchronizer design.

Reference Book:1. “Digital Systems Engineering,”W. J. Dally and J.W. Poulton.

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13TE372: VLSI FOR DSP (4-0-0-4)

Pre-requisite: DSP, DSD using HDL, VLSI

UNIT – I 09 HoursIntroduction: Introduction to DSP algorithms and iterations bound, topical DSP algorithms, representation of DSP algorithm, Data flow graph representation, loop bound an iteration bound, algorithm for computing iteration bounds.

UNIT – II 11 HoursPipeline and Parallel Processing: Pipelining of FIR digital filters, parallel processing, pipelining and parallel processing for low power.Retiming: Definition and properties, solving system of inequalities, retiming techniques

UNIT – III 11 HoursUnfolding and Folding: Algorithm for unfolding, properties of unfolding, critical path unfolding and retiming, register minimization techniques, folding and multi-rate techniques.

UNIT – IV 12 HoursSystolic Array Architecture and Fast Convolution Techniques: Systolic array design methodology, FIR systolic array design, 2D systolic array design, Cook-Toom algorithm, Windogard algorithm, iterated convolution, cyclic convolution. UNIT – V 09 HoursAlgorithm Strength Reduction and Filters and Transforms: Strength reduction pipe FIR filters, strength reduction DCT, IDCT, parallel architecture for rank order filters.

Reference Book:1. “VLSI Digital Signal Processing Systems: Design and Implementation,”K. K. Parhi.

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13EC373: INDUSTRIAL ELECTRONICS (4-0-0-4)

Pre-requisite: EC I

UNIT – I 10 HoursIntroduction: Introduction to digital system engineering, Modeling and analysis of wires.Power Electronics Devices: Characteristics of power devices, characteristics of SCR, diac, triac, SCS, GTO, PUJT – power transistors – power FETs – LASCR – two transistor model of SCR – Protection of thyristors against over voltage – over current, dv/dt and di/dt.

UNIT – II 11 HoursTriggering Techniques: Turn on circuits for SCR – triggering with single pulse and train of pulses – synchronizing with supply – triggering with microprocessor – forced commutation – different techniques – series and parallel operations of SCRs.

UNIT – III 11 HoursControlled Rectifiers: Converters – single phase – three phases – half controlled and fully controlled rectifiers – Waveforms of load voltage and line current under constant load current – effect of transformer leakage inductance – dual converter.

UNIT – IV 10 HoursInverters: Voltage and current source inverters, resonant, Series inverter, PWM inverter. AC and DC choppers – DC to DC converters – Buck, boost and buck – boost. UNIT – V 10 HoursIndustrial Applications: DC motor drives – Induction and synchronous motor drives – switched reluctance and brushless motor drives – Battery charger – SMPS – UPS – induction and dielectric heating.

Reference Books:1. “Power Electronics Circuits, Devices and Applications,” M.H. Rashid, Prentice Hall of India, 3rd edition, 2004.2.“Power Electronics,” Singh and Kanchandani, Tata McGraw Hill, 1998.3. “Power Electronics,” Sen, Tata McGraw Hill, 1987.4. “Thyristorised Power Controllers,”Dubey, Wiley Eastern, 1986.5.“Power Electronics: Principles and Applications,” Vithayathil, McGraw Hill, 1995.6.“Power Electronics,” Lander, McGraw Hill, 3rd edition, 1994.

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13TE374: MULTIRATE SYSTEMS AND FILTER BANKS (4-0-0-4)

Pre-requisite: DSP

UNIT – I 10 HoursDigital Filters: Specifications; FIR and IIR filter designs; allpass filters, special types of filters; IIR filters based on allpass filters.

UNIT – II 10 HoursFundamentals of Multirate Systems: Basic multirate operations, interconnection of building blocks, polyphase representation, multistage implementation, special filters and filter banks.

UNIT – III 11 HoursQMF filter banks: Errors created in the QMF bank, alias-free QMF system, power symmetric QMF banks.

UNIT – IV 11 HoursMaximally decimated filter banks: M-channel filter banks, polyphase representation, perfect reconstruction systems, alias-free filter banks, tree structured filter banks, transmultiplexers.

UNIT – V 10 HoursParaunitary Perfect Reconstruction Filter Banks: Lossless transfer matrices, filter bank properties induced by paraunitariness, two channel paraunitary lattice, M-channel FIR paraunitary QMF banks.

Reference Books:1. “Multirate Systems and Filter Banks,” P.P. Vaidyanathan,Pearson Education, 2004.2. “Wavelets and Filter Banks,” G. Strang and T. Nguyen,Wellesley-Cambridge, 1996.3. “Multirate Digital Signal Processing,”N.J. Fliege, John Wiley, 2000.4.“Modern Digital Signal Processing,” R. Cristi, Thomson Learning, 2004.

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13TE375: DETECTION & ESTIMATION (4-0-0-4)

Pre-requisite: DSP, RP

UNIT – I 10 HoursClassical Detection and Estimation Theory: Introduction, simple binary hypothesis tests, M Hypotheses, estimation theory, composite hypotheses, general Gaussian problem, performance bounds and approximations.

UNIT – II 11 HoursRepresentations of Random Processes: Introduction, orthogonal representations, random process characterization, homogenous integral equations and eigenfunctions, periodic processes, spectral decomposition, vector random processes.

UNIT – III 11 HoursDetection of Signals: (Estimation of Signal Parameters): Introduction, detection and estimation in white Gaussian noise, detection and estimation in nonwhite Gaussian noise, signals with unwanted parameters, multiple channels, multiple parameter estimation.

UNIT – IV 11 HoursEstimation of Continuous Waveforms: Introduction, derivation of estimator equations, a lower bound on the mean-square estimation error, multidimensional waveform estimation, nonrandom waveform estimation.

UNIT – V 09 HoursLinear Estimation: Properties of optimum processors, realizable linear filters, Kalman-Bucy filters, fundamental role of optimum linear filters.

Reference Books:1. “Detection, Estimation, and Modulation Theory,” H. L. Van Trees,Part I, John Wiley &

Sons, USA, 2001.2. "Introduction to Statistical Signal Processing with Applications,” M.D. Srinath, P.K.

Rajasekaran and R. Viswanathan,Pearson Education (Asia) Pte. Ltd. /Prentice Hall of India, 2003.

3. "Fundamentals of Statistical Signal Processing," Volume I: "Estimation Theory", S. M. Kay,Prentice Hall, USA, 1993; Volume II: "Detection Theory," Prentice Hall, USA, 1998.

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13TE376: INTRODUCTION TO JAVA (4-0-0-4)

Overall learning objectives of the course:

This subject helps the students to understand the basics of Java which includes: Fundamentals of Object-Oriented programming, Inheritance, Packages, Interfaces, Managing errors and exceptions, Applet and graphics Programming.

UNIT– I 10 Hours

Fundamentals of Object-Oriented programming: Introduction, Object-Oriented Paradigm, Basic Concepts of Object-Oriented programming, Benefits of OOP, Application of OOP.

JAVA Evolution: Java History, Java Features, How Java differs from C and C++, Java and Internet, Java and World wide web, Web Browsers, Hardware and Software requirements, Java Support systems, Java environment.

Overview of Java Language: Simple java program, More of Java, An Application with Two Classes, Java Program Structure, Java Tokens, Java Statements, Implementing a Java Program, Java Virtual Machine, Command Line Arguments, Programming Style.

UNIT – II 10 Hours

Constants, Variables, Data Types: Constants, Variables and Data Types, Declaration of variables, Giving values of Variables, scope of variables, symbolic constants, type casting, getting values of variables, standard default values.

Operators and Expressions: Arithmetic Operators, Relational Operators, Logical Operators, Assignment Operators, Increment and Decrement Operators, Conditional Operator, Precedence of Arithmetic Operators

Decision Making and Branching: Decision Making with if statement, simple if statement, if-else statement, nesting of if-else statement, the else-if ladder, Switch statement, the operator.

Decision Making and Looping: The while statement, the do statement, the for statement, jumps in loops. Labeled loops.

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UNIT – III 12 Hours

Class, Objects, and methods

Defining a class, Adding Variables, Adding Methods, Creating Objects, Accessing Class Members, constructors, Methods Overloading, Static members, nesting of methods.

Inheritance: Extending a class, overriding methods, final variables and methods, final classes, finalizer methods, abstract methods and classes, visibility control.

UNIT – IV 10 Hours

Arrays, Strings & vectors: Arrays, One-dimensional arrays, creating an array, Two-dimensional arrays, String, Vectors, and Wrapper Classes.

Packages: Putting classes together: Java API packages, using system packages, name conventions, creating packages, accessing packages, using a package, adding a class to a package, hiding classes.

Interfaces: Multiple Inheritance: Defining Interfaces, Extending Interfaces, Implementing interfaces, accessing interface variables.

UNIT – V 10 Hours

Managing errors and exceptions: Types of errors, exceptions, syntax of exception handling code, multiple catch statements, using finally statement, throwing our own exceptions, using exceptions for debugging.

Applet and graphics Programming: How applets differ from applications, preparing to write applets, building applet code, applet life cycle, creating an executable applet, designing a web page, applet tag, adding applet to HTML, running the applet. Graphics class.

Text Book:

1. “Programming with JAVA, A premier”, - E. Balagurusamy, 2nd edition.

Reference Book:

1. “The Complete Reference JAVA2”, Herbert Schildt, Fifth edition

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13TE377: ELEMENTS OF DATA STRUCTURES USING C ++ (4-0-0-4)

Overall learning objectives of the course:

Data Structures captures common ways to store & manipulates data and they are important in the construction of sophisticated computer program. Students will be expected to write Java programs, ranging from very short programs to more elaborate systems. Since one of the goals of this course is to teach you how to write large, reliable programs composed from reusable pieces, we will emphasizing the development of clear, modular programs that are easy to read, debug, verify, analyze & modify

UNIT – I 10 Hours

Overview Of C++: Introduction, Functions and Parameters, Classes, friend functions, Dynamic Memory Allocation, Templates, Testing and Debugging.

Introduction To Program Performance: Time and space complexity, asymptotic notation

UNIT – II 10 Hours

Data Representation: Introduction, Linear Lists, Formula based representation, Linked representation Indirect Addressing, Simulating pointers

Arrays and Matrices: Arrays, Matrices, Special matrices, sparse matrices

UNIT – III 08 Hours

Stacks: The abstract data type, Derived classes and inheritance, Formula-based representation, Linked representation, Applications

UNIT – IV 12 Hours

Queues: The abstract data type, Derived classes and inheritance, Formula-based representation, Linked representation, Applications

Skip Lists & Hashing: Dictionaries, Linear Representation, Skip List Presentation, Hash table Representation

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UNIT – V 12 Hours

Binary and other Trees: Trees, Binary Trees, Properties & Representation of Binary Trees, Common Binary Tree operations, Binary Tree Traversal, The ADT Binary Tree, ADT and Class extensions.

Priority Queues: Linear Lists, Heaps, Leftist tree

Text Book:

1. “Data Structures, Algorithms and Applications in C++”, Sartaj Sahni, McGH, 2000.

Reference Books:

1. “Data Structures through C++”, Yeshwant Kanetkar

2. “Programming with C++ and Data Structures”, Maria Litvin and Gray Litvin, Vikas Publications, 2003

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13TE378: INTRODUCTION TO C++ (4-0-0-4)

Overall learning objectives of the course:

In the past, programming languages are procedural, the design concept is based on the module and scope which are difficult to manage, but nowadays, the programming trend is Object-Oriented Programming (OOP), where objects are the key elements to build up application and the communications between different objects are through method invocation.

UNIT– I 10 Hours

Introduction to OOP: Learning C++, A little History: The C Language, Object-Oriented Programming, C++, C++ Initiation: The main() function, C++ comments, C++ preprocessor directives and iostream.h File, C++ Output with cout, C++ Source- Code Formatting, More about C++ statements: Declaration statements and variables, The Assignment Statement, New trick for cout, More C++ statements: Using cin, Function call statement, More cout, A touch of class.

Functions in C++: Functions Review: defining of a function, function prototyping & function calls, Pointers and const, Functions and strings: Functions that return string, Inline Functions, Default arguments, Function Polymorphism: An overloading example, When to use function overloading, Reference Variables: Creating reference variables, reference as function parameter, reference properties and oddities.

UNIT– II 10 Hours

Dynamic Memory Allocation: Pointers and the Free store: Declaring and initializing pointers, Pointers and numbers, Allocating memory with new, Using new to create dynamic arrays, Freeing memory with delete.

Objects and classes: Data Abstraction & Classes: What’s a type, The Class, Implementing Class member functions, Using a class, Our Story to Date, Class Constructor & Destructor: Declaring & defining a constructor, Using a constructor, Destructors, Improving the softball class, Further refinements: The default constructor, Constructor & destructor in review, Knowing your objects: the pointer, An array of objects, Class scope.

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UNIT – III 09 Hours

Working with Classes : Friends: Designing friends, Operator Overloading: A vector class with operator overloading, Overloading the << operator, Improving the class by adding state member, Yet another trick, Automatic conversions & type casts for classes : Conversion Functions, Dynamic memory & classes: Review example & static class members, Back to softball: Improved Memory Management, Pointer problems in object initialization and assignment, Fixing the object initialization problem, Fixing the assignment problem, Reviewing techniques, Using pointers to objects.

UNIT– IV 12 Hours

Class Inheritance: An array base class: Class definition, using the Class. Deriving a Class: Defining a derived class, Implementing the derived class, Using the derived class, Managing your include files, A derived class with bounds checking, Extending Inheritance. Which methods? Class Conversions, Pointers and References to Objects, Virtual Functions: The virtual Solution, Class with Member Classes: Member Classes, Member class initialization for classes with object members, Initialization and assignment in constructors, completing the class definition, Disadvantages of member classes, Multiple Inheritance, Multiple Inheritance with Common Ancestor: Virtual Base Classes, Using Virtual Base Classes, and Which Method?

Input, Output and Files: An Overview of C++ Input and Output: Streams and Buffers, Streams, Buffer, and iostream.h file, Redirection, Output with cout: Overloaded << operator, The other ostream methods, Flushing the ouput buffer, Formatting with cout. Input with cin: How cin>> views input, Other istream class methods, Other istream methods. File input and output: Simple file I/O, Opening multiple files, stream checking, File modes.

UNIT– V 11 Hours

Using Friends: What are friends?, How to declare a function as a friend?, Two classes with the same friend, Two instances of a class using a friend, Making a friend of a member of another class, Making a friend of another classes.

Template Functions: Creating template functions, Using multiple parameters and overloading function templates, Using more than one type in a template function, Explicitly specifying the type in a template, Using template functions with class objects, Template classes, Creating a complete class template, Container classes.

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Exceptions: Exceptions, Throwing exceptions, Try blocks, Catching exceptions, the default handler, Exception specifications, Constructor exceptions.

Text Book:

1.“The Waite Group’s C++ Primer Plus”, Teach Yourself Object Oriented Programming, Stephen Prata, Galgotia Publications, 1999 Edition (2002 / 2006 Reprint).

Reference Books:

1. “C++ Primer”, Lipman, Pearson Education., Third Edition,

2. “Programming with C++”, John Hubbard, Schaum’s Series, TMH, 1996

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13TE379: RELIABILITY ENGINEERING (4-0-0-4)

UNIT-I 10HoursIntroductionDefinition; Probability Concept; Addition of Probabilities; Complimentary Events;Kolmogorov Axioms, Conditional Probability, Multiplication Rule, Independent Events,Venn Diagram, Bayes Theorem

UNIT-II 11Hours Failure Data Analysis Introduction, Mean Failure Rate, Mean Time to Failure ( MTTF ), Mean Time betweenFailures ( MTBF), Graphical Plots, MTTF in terms of Failure Density, MTTF in IntegralForm.

UNIT-III 10HoursHazard Models Introduction, Constant Hazard; Linearly Increasing Hazard, The Weibull Model, DensityFunction and Distribution Function

UNIT-IV 11HoursSystem Reliability Series, Parallel and Mixed Configurations, Complex Systems, Logic Diagrams, Fault-Tree Analysis and Other Techniques: Fault-tree Construction, Calculation of Reliability,Tie- set and Minimal Tie-set, Markov Models.

UNIT-V 10HoursReliability Improvement & Repairable Systems Redundancy, Element, Unit and Standby Redundancy, Optimization; Reliability – costtrade- off, Introduction to Repairable Systems, Instantaneous Repair Rate, MTTR,Important Applications.

Text Books:1. Reliability Engineering, L.S. Srinath, Affiliated East-West Press, New Delhi.2. Reliability Engineering, A.K.Govil, Tata Mc-Graw Hill, New Delhi.

Reference Books:1. Reliability Engineering, L.Balagurusamy, Tata Mc-Graw Hill, New Delhi, 1984.2. Reliability Based Design, S. Rao, Mc-Graw Hill, 1992.

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13TE380: ENGINEERING MANAGEMENT (4-0-0-4)

Unit-I 12 hoursEngineering and Management:- Engineering - origin, types of engineers. Management –Definition, management levels, management skills, managerial roles, Functions of managers, Management is Art or Science. Engineering management - synthesis

Historical Development of Engineering Management:- Origins, The Industrial Revolution, Management philosophies, Scientific management, Administrative management, Behavioral management, other Contributions

Planning and Forecasting:- Nature of planning, The foundation for planning- Vision, purpose, mission, strategic planning, strategic management of Technology, Goals & objectives, MBO & MBE. Planning concepts. Forecasting-quantative & qualitative methods, regression models, Technological forecasting, Strategies for managing Technology.

Unit-II 10hours

Decision Making:- Nature of Decision Making, Management Science, Tools for decision making- under certainity, risk, uncertainity, Expert systems

Organizing- Nature of organizing, Traditional organizational theory-Departmentation, span of control, Line & staff relationships. Technology & modern organization structures, teams.Human aspects of organizing:- Staffing technical organization, Authority & Power, Delegation Committes & Meetings.

Unit-III 10 hoursMotivating & Leading Technical people: - Motivation- various theories, Leadership-Nature, traits,approaches, styles. Motivating and Leading Technical Professionals.Controlling:-The process of controls, Finacial Controls, Non finacial controls.

Unit-IV 10 hoursManaging the Research Function:- Product and technology life cycles, Nature of research and development, Research strategy and organization, Protection of Ideas-patents, trade marks, copy rights, trade secrets, Creativity, Making R&D organisation successfulManaging Engineering Design:-Nature of Engineering Design, Systems Engineering/New Product Development, Control systems in design, Product Liability and safety, Designing for reliability, Other “Ilites” in design

Unit-V 10 hoursProject Planning & acquision: - The characteristics of a project, the project proposal process, project planning tools, types of Contracts.Project organization: - The project organization, the project manager, motivating project performance, Controlling cost & schedule Professional Ethics and conduct:Definitions, Engineering Codes of Ethics, Ethical problems in Industrial Practices.

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Text Books:-1. Managing Engineering and Technology by Babcock & Morse PHI, 2004

Reference Books:-

1. Management-A Competency based Approach Hellriegel / Jackson / Slocum, 9th Edition Thomson south western

2. Management-Harold Koontz / Heinz Weir Rich, 9th Edition, McGraw Hill3. Principles of Management “by P.C Tripathi, P.N.Reddy, 4th Edition, McGraw Hill

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13TE381: ADAPTIVE SYSTEMS (4-0-0-4)

Overall learning objectives of the course:

Understand the concepts of adaptive systems. Provide knowledge of stability of dynamical systems. Ability to design stable adaptive laws for unknown dynamical systems.

Unit-I 10hoursSystems theory: State-space representations; adaptive systems; direct and indirect control; model reference adaptive systems and self-tuning regulators; stable adaptive systems; applications.

Unit-II 10hours

Stability Theory: Linear systems; Lyapunov stability; positive-real functions; Kalman-Yakubovich lemma; input-output stability; stability of adaptive systems; other stability concepts.

Unit-III 10hours

Simple Adaptive Systems: Algebraic systems; dynamical systems; state variables accessible.

Unit-IV 10hours

Adaptive Observers: Luenberger observer; adaptive observers; design of adaptive observers.

Unit-V 12hours

Control Problem: Adaptive control of plants with relative degree unity; adaptive control of plants with relative degree greater than or equal to 2. Comments on the proof of global stability, the control problem and the controller structure. Combined direct and indirect approach. Relaxation of assumptions

Notion of persistent excitation.References Books:1. K.S. Narendra and A.M. Annaswamy (1989), "Stable Adaptive Systems," Prentice

Hall (Dover, 2005.)2. S. Sastry and M. Bodson (1989), “Adaptive Control: Stability, Convergence and Ro-

bustness”, Prentice-Hall.3. P. Ioannaou and B. Fidan (2006), “Adaptive Control Tutorial,” SIAM.K. Astrom (1995), “Ádaptive Control,” 2nd edition, Pearson Education.

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INSTITUTE ELECTIVE

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13IE501: NUMERICAL METHODS IN ENGINEERING (4-0-0-4)

Overall learning Objectives of the Course:Upon completing this course, a student should be adequately prepared to embark on studies of numerical methods. In general, he / she should have gained a fundamental understanding of the importance of computers and the role of approximations and errors in the implementation and development of numerical methods.The student should have mastered sufficient computer skills to develop his / her own software for the numerical methods in this course. The student should be able to develop well-structured and reliable computer programs on the basis of this course. The student should have developed the capability to document his / her programs.

Specific goals:1. to recognize the difference between analytical and numerical solutions.2. to understand how conservation laws are employed to develop mathematical modes of

physical systems.3. to be capable of composing structure and modular programs in a high-level computer

language.4. to recognize the distinction between truncation and round off errors.5. to recognize the difference between true relative error - approximate relative error - and

acceptable error - and understand how – and – are used to terminate an iterative computation.

6. to recognize how computer arithmetic can introduce and amplify round-off errors in calculations. In particular, appreciate the problem of subtractive cancellation.

7. to be familiar with the concepts of stability and condition.

UNIT – I 10 Hours Review: Review of finite differences, solution of simultaneous algebraic equations by Gauss-Seidel iterations, Thomas algorithm for tri-diagonal matrix, numerical integration and differentiation.Mathematical modeling and engineering problem solving: A simple mathematical model, conservation laws and engineering.Approximations and round-off errors: Significant figures, accuracy and precision, error definitions, round-off errorsRoots of polynomials: Polynomials in engineering and science, computing with polynomials, conventional methods, Muller’s method, Bairstow’s method, other methods

UNIT – II 10 HoursLeast square regression: Linear regression, polynomial regression, multiple linear regression, general linear least squares, nonlinear regression.Interpolation: Newtons divided-difference interpolating polynomials, Lagrange interpolating polynomials, inverse interpolation, spline interpolation

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UNIT – III 12 HoursCase Studies- Curve Fitting: Linear regression and population models (Chemical / Bio engineering), use of splines to estimate heat transfer (Mechanical / chemical / civil engineering), analysis of experimental data (mechanical / aerospace engineering)Numerical integration of equations: Newton’Cotes algorithms for equations, Romberg integration, Gauss Quadrature, improper integrals.Numerical differentiation: High accuracy differentiation formulas, Richardson extrapolation, derivatives unequally spaced data, derivatives and integrals for data with errors

UNIT – IV 10 HoursCase studies on numerical differentiation and integration: Integration to determine total quantity of heat, effective force on the mast of a racing sail boat, rms current by numerical integration, numerical integration to compute workFinite difference – elliptic equations: The Laplace equation, solution techniques, boundary conditions, the control volume approach

UNIT – V 10 HoursFinite difference – parabolic equations: The heat conduction equation, explicit methods, a simple implicit method, the Crank-Nicolson method, parabolic equations in two spatial dimensions.Case studies- partial differential equations: One-dimensional mass balance of a reactor (chemical / bio engineering), deflections of a plate (civil engineering), two-dimensional electrostatic field problems (electrical / electronics engineering), finite element solution of a series of springs (mechanical / aerospace engineering.

Text Book:1. Numerical Methods for Engineers, Steven C. Chapra, and Raymond P. Canale, Fifth Edition,

Tata McGraw-Hill Publishing Company Limited, 2007

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13IE502: OPERATIONS RESEARCH (4-0-0-4)

Overall learning Objectives of the course: The purpose of this subject is to introduce the concept of operations research in their proper perspective & present the fundamentals necessary to grasp the features about the techniques & their tools.Therefore in this subject the scope, characteristics, the different techniques and the models used in OR will be studied. The subject aims at combining the knowledge of various disciplines such as mathematics, statistics, economics engineering and psychology in making decisions in complex situations. The various techniques covered in this course include Allocation problems, Assignment problems, Transportation problems, Waiting line problems, Network Analysis ( PERT & CPM ) and competitive problems.

UNIT – I 12 Hours Introduction: Definition, scope of operations Research (O.R) approach and limitations of OR Models, Characteristics and phases of OR. Linear programming: Mathematical formulation of L.P. Problems. Graphical solutions. The simplex method – Slack, surplus and artificial variables. Problems. Degeneracy, and procedure to resolve degenerate cases. Special case problems.

UNIT – II 12 Hours Linear Programming: Big-M method, Concept of duality, Dual simplex method.Transportation Problems: Formulation of transportation model, Basic feasible solution using different methods, optimality by MODI Method, Unbalanced transportation problem, Degeneracy in transportation problems, Applications of Transportation problems.

UNIT – III 08 Hours Assignment problem: Formulation, Hungarian method, unbalanced assignment problem, variations in assignment problem, Travelling salesman problem.

UNIT – IV 10 Hours PERT-CPM Techniques: Steps in PERT / CPM techniques, Network construction, rules for drawing network diagram, Labeling rule, Critical path and Floats in network, PERT time estimates and optimum duration, Cost analysis and crashing of networks.

UNIT – V 10 Hours Queuing Theory: Queuing system and their characteristics, M/M/I Queuing system, M/M/C Queuing Model (Numericals only. No derivation of relationship).Game Theory: Characteristics and Formulation of games, two Person-Zero sum game, games with and without saddle point, principles of dominance, Graphical solution (2×n, m×2 game).

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Reference Books : 1. “OPERATIONS RESEARCH“, S. D. Sharma, Fifteenth Revised edition 2009 KEDARNATH

RAMNATH. 2. “OPERATIONS RESEARCH – An Introduction “, HAMDY A TAHA, Seventh Edition, Prentice

Hall of India, Private Limited.2002

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13IE503: Material Science (3-0-1-4)

Overall learning Objectives of the courseThe course is an introductory course on Material science to the undergraduate students. The course is designed to give the students flair of the fundamentals of materials science in term of the properties, preparation and characterization of materials. The course aims to gear up students for higher studies in the field materials.

UNIT – I 12 Hours Structure of Matter and Bonding: Introduction to the crystalline structure of solids, Structure of Metals, Intermetallic compounds, Ionic compounds, Covalent structures, Bonding: Ionic, Covalent and metallic Energy band in solids. Imperfections in solids. Structure of Glass and Polymers

UNIT – II 9 Hours Phase Diagrams & Nucleation and Growth: Phase rule: isomorphous, eutectic, Peretectic, eutectoid etc. Binary phase diagrams , microstructure and its effect on properties. Phase diagram of materials. Understanding Polymer – solvent Interactions, Polymer – polymer blends etc in the light of thermodynamics

UNIT – III 10 HoursMaterial Characterisation: Introduction to Physical, Chemical and Structural Characterizations. Particle size determinations, X – Ray Diffraction & X Ray fluorescence, Raman spectroscopy, Scanning Electron Microscopy and Transmission electron microscopy.

UNIT – IV 12 HoursMaterials for different applications: Polymers, ceramics, semiconductors and metals – their structure and properties; insulators; superconductors; dielectric, ferroelectric, memory and magnetic materials. Case studies

UNIT – V 9 HoursSelection of materials: Common engineering materials metals and alloys, polymers, ceramics, composites, electronic materials and their selection procedures

Reference Books:1. Materials Science and Engineering an introduction William D Callister Jr. John Wiley & sons

publications 6th edition, 20032. Elements of Material Science & Engineering Lawrence H van Vlack, Sixth edition Pearson

Education 2003

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13IE504: MICRO ELECTRO MECHANICAL SYSTEMS (3-1-0-4)

Overall learning objectives of the course:MEMS – Micro Electro Mechanical Systems refers to systems having both electronic components and mechanical elements on a single platform and these systems represent really efficient ones. It is predicted that in the next 50 years these systems will be the ones that will be used everywhere from automobile to aerospace industries. They represent the next generation machines. It is therefore imperative that students who are willing to take up this course in MEMS are aware of the limitless possibilities that this field offers to them. A thorough basic knowledge in MEMS will give students the remarkable opportunities that await them in this field. The knowledge in this field will give them insights into being creative inventors of innovative MEMS devices. The country needs many MEMS engineers in the near future and this course is precisely designed to cater to that. After this course the students will also be a potential researcher.

UNIT – I 19 HoursINTRODUCTION TO MEMS:

Historical perspective of MEMS covering more than century efforts Birth of MEMS and Moore’s Law Similarities and Distinguishing features between MEMS and Microelectronics Basic and Layman view of MEMS Analogy between mechanical and electrical systems Various Components of MEMS

1. Scaling, Technology, Actuator, Sensor, Transducer, Integration, and Packaging2. Characteristics of sensors3. Characteristics of actuators

Flow chart for realization of MEMS Application Examples of MEMS

What is MEMS? Why MEMS should be understood by end of UNIT I

A VISIT TO FOUNDRY – followed by an assignment of what students have learned from foundry visitBASICS OF FINITE ELEMENT METHODS:

Elements and Shape Functions 1. One-dimensional linear element 2. One-dimensional quadratic element 3. Two-dimensional linear triangular elements 4. Area coordinates 5. Two-dimensional quadrilateral elements .6. Isoparametric elements

Formulation (Element Characteristics) 1. Galerkin finite element method for field problems2. Virtual work principle for stress analysis problems3. Introduction to Multi-physics problems4. Simple examples

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UNIT – II 12 Hours INERTIAL AND FLUIDIC MEMS:

Accelerometer Basics of Accelerometer Uses of Accelerometer Types of Accelerometer MEMS Accelerometer Specifications Design of MEMS Accelerometer Process flow for fabrication of MEMS Accelerometer Simulation of Accelerometer Current Challenges in MEMS Accelerometer

Gyroscope Basics of Gyroscope Uses of Gyroscope Types of Gyroscope MEMS Gyroscope Specifications Design of MEMS Gyroscope Process flow for fabrication of MEMS Gyroscope Simulation of Gyroscope Current Challenges in MEMS Gyroscope

Electro-thermal Actuator Basics of electro-thermal actuator Uses of electro-thermal actuator Types of electro-thermal actuator MEMS electro-thermal Actuator Specifications Design of MEMS Electro-thermal Actuator Process flow for fabrication of MEMS Electro-thermal Actuator Simulation of Electro-Thermal Actuator

Current Challenges in MEMS Electro-thermal Actuator

UNIT – III 07 HoursRF MEMS: RFMEMS SWITCH

Basics of Switch Uses of Switch Types of Switch MEMS Switch Specifications Design of MEMS Switch Process flow for fabrication of MEMS Switch Simulation of Switch Current Challenges in MEMS Switch

RFMEMS Antenna

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Basics of Antenna Uses of Antenna Types of Antenna MEMS Antenna Specifications Design of MEMS Antenna Process flow for fabrication of MEMS Antenna Simulation of Antenna Current Challenges in MEMS Antenna

UNIT – IV 07 Hours Power MEMS:

Basics of Energy Harvesting Uses of Energy Harvesting MEMS Thermo-Electric Energy Harvesting Specifications Design of MEMS Thermo-Electric Energy Harvestor Process flow for fabrication of MEMS Thermo-Electric Energy Harvestor Simulation of MEMS Thermo-Electric Energy Harvesting Current Challenges in MEMS Thermo-Electric Energy Harvesting

UNIT – V 07 HoursOTHER MEMS: OPTICAL MEMS Micro Mirror

Basics of Micro-mirror Uses of Micro-mirror Micro-mirror Specifications Design of MEMS Micro-mirror Process flow for fabrication of MEMS Micro-mirror Simulation of MEMS Micro-Mirror Current Challenges in MEMS Micro-Mirror

BIOMEMS Micro Pump

Basics of Micro pump Uses of Micro-pump Micro-pump Specifications Design of MEMS Micro-pump Process flow for fabrication of MEMS Micro-pump Simulation of MEMS Micro-Pump Current Challenges in MEMS Micro-Pump

Tutorials: tutorials using COMSOL One mini-project with a design and simulation

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Reference Books:

1. FOUNDATION OF MEMS – Chang Liu, Pearson International Ed., 2006, ISBN 0 – 13 – 199204 – X

2. MICRO AND SMART SYSTEMS- G K Ananthsuresh, K Gopalakrishnan, K J Vinoy, K N Bhat and V K Aatre

3. AN INTRODUCTION TO MICROELECTROMECHANICAL SYSTEMS ENGINEERING by N. Maluf

4. MICROMACHINED TRANSDUCERS SOURCEBOOK by G. Kovacs 5. PRACTICAL MEMS by Ville Kaajakari 6. MICRO ELECTRO MECHANICAL SYSTEM DESIGN by J. Allen 7. FUNDAMENTALS OF THE FINITE ELEMENT METHOD FOR HEAT AND FLUID FLOW –

Roland W Lewis, Perumal Nithiarasu and Kankanhally N Seetharamu, Wiley publications

8. THE SCIENCE AND ENGINEERING OF MICROELECTRONIC FABRICATION – Second Ed. Campbell, Oxford, 2001, ISBN 0 – 19 – 513605 – 5

9. FUNDAMENTALS OF MICROFABRICATION – Madou, CRC Press, 1997, ISBN – 0 – 8493 – 9451 – 1

10. SMART SENSORS AND MEMS - Eds. Sergey Y Yurish, Maria Teresa, Sr Gomes, Nato Science Series, Kluwer Academic Publishers, London, 2000.

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13IE511: DESIGN OF EXPERIMENTS (4-0-0-4)

UNIT – I 12 HoursIntroduction : Strategy of Experimentation, Typical applications of Experimental design, Basic Principles, Guidelines for Designing Experimental design, Basic Principles, Guidelines for Designing Experiments.Basic Statistical Concepts: Concepts of random variable, probability density function cumulative distribution function. Sample and population, Measure of Central tendency; Mean median and mode, Measures of Variability, Concept of confidence level. Statistical Distributions: Normal, Log Normal & Weibull distributions. Hypothesis testing, Probability plots, choice of sample size. Illustration through Numerical examples.

UNIT – II 7 HoursExperimental Design: Classical Experiments: Factorial Experiments : Terminology : factors, levels, interactions, treatment combination, randomization, Two – level experimental designs for two factors and three factors. Three – level experimental designs for two factors and three factors, Factor interactions, Fractional factorial design, Saturated Designs, Central composite designs. Illustration through Numerical examples.

UNIT – III 7 HoursAnalysis And Interpretation Methods: Measures of variability, Ranking method, Column effect method & Plotting method, Analysis of variance (ANOVA) IN Factorial Experiments : Yate’s algorithm for ANOVA, Regression analysis, Mathematical models from experimental data. Illustration through Numerical examples.

UNIT – IV 14 HoursQuality By Experimental Design: Quality, Western and Taguchi’s quality philosophy, elements of cost, Noise factors causes of variation Quadratic loss function & variations of quadratic loss function. Robust Design: Steps in Robust Design: Parameter design and Tolerance Design. Reliability Improvement through experiments, Illustration through Numerical examples.Experiment Design Using Taguchi’s Orthogonal Arrarys: Types of Orthogonal Arrays, selection of standard orthogonal arrays, Linear graphs and interaction assignment, Dummy level Technique, Compound factor method, Modification of linear graphs. Illustration through Numerical examples.

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UNIT – V 12 HoursSignal To Noise Ratio: Evaluation of sensitivity to noise. Signal to Noise ratios for static problems: Smaller – the – better type, Nominal – the – better type, Larger – the – better type. Signal to Noise ratios for Dynamic Problems. Illustration through Numerical examples.Parameter And Tolerance Design: Parameter and tolerance design concepts, Taguchi’s inner and outer arrays, parameter design strategy, tolerance design strategy, Illustration through Numerical examples.

Reference Books:1. Design And Analysis of Experiments, Douglas C Montgomery, 5th Edition wiley India Pvt Ltd.

20072. Quality Engineering using Robust Design, Madhav S Phadke, Prentice Hall PTR, Englwood

Cliffs, New Jersy 07632, 19893. Quality by Experimental Design, Thomas B Barker, Marcel Dekker, Inc ASQC Quality Press

19854. Experiments Planning, analysis and parameter Design optimization, C.F. Jeff Wu Michael

Hamada, John wiley Esitions 20025. Reliability Improvement by Experiments, W L Condra Marcel Dekker, Inc ASQC Quality

Press 19856. Taguchi Techniques for Quality Engineering, Philip J Ross 2nd Edn. McGraw Hill International

Editions, 1996

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13IE512: CYBER LAWS FOR ENGINEERS (4-0-0-4)

Overall learning Objectives of the course: To understand the legal aspects of activities in cyber space as E-Commerce, E-Governance

and information Security. To provide understanding the technical and legal aspects of digital signatures and their

usage. To understand the concept of digital contracts. To understand the intellectual property rights such as Trademarks, Copyright and Patents. To understand the legal aspects of Cyber Crimes, including hacking, data theft etc.

UNIT – I 10 HoursLegal aspects of information security: Introduction to basic concepts of law and information security, overview of information security obligations under ITA 2008, privacy and data protection concepts, introduction to ISMS, IS audit, role of corporate management in IS management, HR and management issues in information security.

UNIT – II 16 HoursLaw of contracts applicable for cyber space transactions: What is a contract? How is a contract formed? Legal recognition of electronic documents, authentication of electronic documents, hashing, encryption, digital signatures, electronic signatures as per ITA 2008, examples of cyber space contracts such as internet access contracts, domain name contracts, web hosting contracts, web designing contracts, E- commerce terms, E-Governance terms. Resolution of contractual disputes.

UNIT – III 10 Hours Intellectual Property Law for cyber space: What is an intellectual property? How is it different from movable or immovable properties or contractual rights? What is a trademark? How is trademark created? How is it related to domain names? Different types of domain name disputes, dispute resolution system for domain names, what is copyright? How is copyright created? What are the rights? What is fair use? What are the penalties for infringement? Issues in copyright regarding web content and blogs, issues of copyright licensing of software, what is a patent? How is it obtained? What are the rights of a patent holder? Patenting of software, business methods and hardware.

UNIT – IV 08 HoursLaw of cyber crimes: Different types of cyber crimes, hacking, denial of service, identity theft, cyber stalking, spam, phishing etc, provisions of ITA 2008 on cyber crimes

UNIT – V 8 HoursLaw of Cyber crimes: system of adjudication of contraventions of ITA 2008, cyber crime investigation and prosecution, digital evidence and cyber forensics.[P.S: ITA 2008 means Information Technology Act 2000 as amended by Information Technology Amendment Act 2008]

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Text Book:1. Cyber Laws For Engineers by Naavi. Published by Ujvala Consultants Pvt Ltd, 2010.

Reference Books:1. “CyberLaw: The Indian Perspective”, by Pavan Duggal, Saakshar Law Publications, Delhi.

(2009 Edition)2. Cyber Crime and Corporate Liability, Rohas Nagpal, Ed 2008.3. Cyber Crimes Electronics Evidence & Investigation Legal Issues with critical analysis of the

information technology (Amendment) Act 2008, Vivek Sood, Ed 2008.4. Law relating to computers internet and E- Commerce, Nandan Kamat, Ed 2009.

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13IE513: NANO SCIENCE AND NANOTECHNOLOGY (3-0-1-4)

Overall learning objectives of the courseThis is an introductory course in nano science and nano technology which will help students to appreciate the emerging field of nanotechnology and nano devices.The course is oriented to give a flair of the fundamental aspects of nano science, some of the interesting materials and their applications to newer devices.

UNIT – I 10 HoursIntroduction: Introduction to Nano science and Nanotechnology. Size dependence of properties, Energy bands and gap in semiconductors. Effective masses and Fermi surfaces. Density of states - Quantum wells, wires and dots

UNIT – II 10 HoursProperties of Nano materials: Metal nanoclusters – Magic numbers, theoretical modeling of Nanoparticles, geometric and electronic structure, reactivity. Semiconducting nano particles- optical properties photofragmentation, coulombic explosion. Molecular clusters, Bulk nano structured materials.

UNIT – III 12 HoursNano materials processing techniques: Physical and Chemical processing methods, Sol gel technics, Patterned growth of nano structures, Thermolysis, Laser ablation techniques.

UNIT – IV 10 HoursCarbon Nano tubes properties and characterization: Nature of Carbon Bond, small carbon Clusters, Bucky balls, Carbon nano tubes.Synthesis by Arc method, Chemical vapor deposition, Laser evaporation techniques.Structure of CNT. SWCNT, MWCNT. Electrical and Mechanical properties of carbon nano tubers.

UNIT – V 10 Hours Nano and CNT devices and applications: Mechanical reinforcements, Infrared Detectors, Quantum Dot Lasers. Giant Magnetoresistive devices.Applications of CNT, Field emission and shielding, Chemical Sensors, Fuel cells.Term paper / Mini project on processing and characterization of nano materials.

Reference Books: 1. Introduction to Nanotechnology, Charles p poole Jr, Frank J Owens, Wiley India

Publications 2008 Reprint2. Nano : The Essentials, T Pradeep, Tata McGraw Hill publications, 2007 edition.

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13IE514: SHIP ENGINEERING (4-0-0-4)

Overall learning Objectives of the Course:To make undergraduate engineering students aware of the broad types, principles, design aspects, propulsion, working of various systems, functions of ships. This will introduce the basic marine engineering to the students to understand the requirements of ship building and shipping operations.

UNIT – I 10 Hours Introduction: Historical Development, Types of ship- warship, bulk, cargo, oil tanker, LPG/LNG carrier, RO-RO vessel, cruise liner, hydrodynamic supported vessel, TUG’s, AHV’s Ice breaker, Research Vessel.Basic Ship Design: Archimedes Principle, buoyancy, CG, CB, Metacenter. Righting moments, layout of major components.Ship Structure: General – Port/stbd, after body, fore body, CL, Midship, LOA, LBP, BM, AP, FP, Sub division( block/units), freeboard, superstructure, camber, sheer, tumble home, stern/bow, forecastle/quarter deck, displacement, draught.

UNIT – II 10 Hours Parts of a ship: Keel, frames, transverse/longitudinal, beams/girders, bulkhead, deck, brackets, stiffener, cutouts and clips, limber hole/scallop, bilge keel, gutter strake, stakes( shells), pillar, rider plate, single and double bottom structure, web, door and hatches, carlings, chain locker, hawse/naval pipe, bulwark, stern tube, shaft, manhole, bollard/fairlead, mast, derrick/cranes and deck machinery.Materials: Wood, Steel, GRP, AlloysForces: Hogging/Sagging, Heel, List, Trim, Rolling/PitchingMachinery Components: Major machinery like propulsion, gearing, shafting and propellers, power generation equipment, compressors and auxiliary equipment.Corrosion and outfitting: Marine corrosion, Marine growth, Preventive actions for corrosion and growth.

UNIT – III 11 Hours Systems in ship: Saltwater system and services, fresh water, fuel oil filling and transfer, Ballasting / Deballasting, firefighting, air vent and sounding, hydraulic, pneumatic.Machinery Spaces: Location of machinery compartment in warship and merchant vessel, equipment schedule for machinery spaces/engine room. Main propulsion machinery viz. Steam turbine, main boiler, gas turbine, diesel engine, gear box, shafting and propeller. Electrical generators, auxillary equipment: Evaporators, HP/LP air compressor, stabilizer, oil water separator, STP and all other associated auxillary equipment. Steering gear, Philosophy of the layout of the engine room, functions of all equipment onboard ship.

UNIT – IV 11 Hours Outfit: Corrosion, Marine growth, paint requirements, pipe symbols, pipe material, types of valves, flanges, fittings, elbows etc, pipe support: Constant load hangers, spring hangers, fixed length hangers, pipe protection against corrosion/erosion, color coding.

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Ventilation: Types of ventilations, types of fans, principle of ducting, air conditioning, refrigeration – cold and cold rooms.

UNIT – V 10 HoursElectrical Requirement (Power generation and distribution): Generation of electricity, types and classes of supply, distribution, end use.

Reference Book:1. “Introduction to Marine Engineering” D.A.Taylor.

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13IE515: ENTREPRENEURSHIP & MANAGEMENT (4-0-0-4)

Overall learning Objectives of the Course:This course provides a background for the development and operation of a business starting with the role of the entrepreneur in our economy to the development of a business plan and the application of specific marketing skills and concepts within the business environment. This course also explores the planning, organizing and controlling of a business, including organizational and human aspects, with emphasis on various theories of management, the knowledge and understanding necessary for managing people and functions, and decision making.

UNIT – I 09 HoursManagement : Introduction - Meaning - nature and characteristics of Management, Scope and functional areas of management - Management as a science, art or profession Management & Administration - Roles of Management, Levels of Management, Development of Management Thought:early management approaches - Modern management approaches.Planning: Nature, importance and purpose of planning process - Objectives – Types of plans (Meaning only) - Decision making - Importance of planning - steps in planning & planning premises - Hierarchy of plans.

UNIT – II 09 HoursOrganizing and Staffing: Nature and purpose of organization – Principles of organization – Types of organization - Departmentation - Committees – Centralization Vs Decentralization of authority and responsibility - Span of control – MBO and MBE (Meaning only) Nature and importance of Staffing - Process of Selection & Recruitment (in brief)Directing & Controlling: Meaning and nature of directing - Leadership styles, Motivation Theories, Communication - Meaning and importance – Coordination, meaning and importance and Techniques of Co - ordination. Meaning and steps in controlling - Essentials of a sound control system - Methods of establishing control (in brief)

UNIT – III 12 HoursEntrepreneur: Meaning of Entrepreneur; Evolution of the Concept, Functions of an Entrepreneur, Types of Entrepreneur, Intrapreneur - an emerging Class. Concept of Entrepreneurship - Evolution of Entrepreneurship, Development of Entrepreneurship; Stages in entrepreneurial process; Role of entrepreneurs in Economic Development; Entrepreneurship in India; Entrepreneurship – its Barriers.

UNIT – IV 10 HoursSmall Scale Industry: Definition; Characteristics; Need and rationale: Objectives; Scope; role of SSI in Economic Development. Advantages of SSI Steps to start an SSI - Government policy towards SSI; Different Policies of S.S.I.; Government Support for S.S.I. during 5 year plans, Impact of Liberalization, Privatization, Globalization on S.5.1., Effect of WTO/GATT Supporting Agencies of Government for S.5.!., Meaning; Nature of Support; Objectives; Functions; Types of Help; Ancillary Industry and Tiny Industry (Definition only).

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UNIT – V 12 HoursInstitutional support: Different Schemes; TECKSOK; KIADB; KSSIDC; KSIMC; DIC Single Window Agency: SISI; NSIC; SIDBI; KSFC Preparation of Project: Meaning of Project; Project Identification; Project Selection; Project Report; Need and Significance of Report; Contents; formulation; Guidelines by Planning Commission for Project report; Network Analysis; Errors of Project Report; Project Appraisal. Identification of Business Opportunities: Market Feasibility Study; Technical Feasibility Study; Financial Feasibility Study & Social Feasibility Study

Refernce Books: 1. P.C. Tripathi, P.N. Reddy: Principles of Management, Tata McGraw Hill, 2007. 2. Vasant Desai: Dynamics of Entrepreneurial Development & Management, Himalaya Publishing House, 2007. 3. Poornima M Charantimath: Entrepreneurship Development – Small Business Enterprises, Pearson Education, 2006. (Chapters 2, 4)

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13IE521: PROJECT MANAGEMENT (4-0-0-4)

UNIT – I 12 HoursConcepts Of Project Management: Concepts of a project, Categories of Project, Phases of Project life cycle, Roles and responsibilities of project leader, tools and techniques for project management.Project Planning And Estimation: Feasibility report, phased Planning, project planning steps, Objectives and goals of the project, preparation of cost estimation, evaluation of the project profitability.

UNIT – II 14 HoursOrganizing And Staffing: The Project Team : Skills / abilities required for project manager, Authorities and responsibilities of project manager, Project organization and types, Accountability in project execution, controls, tendering and selection of contractorsProject Scheduling: Project implementation scheduling techniques – bar (GANTT) charts, Bar charts for combined activities. Project Evaluation and Review Techniques (PERT) planning Simple Numerical Problems.

UNIT – III 07 HoursCo – Ordination And Control: Project direction co – ordination; and communication in a project, Role of MIS in project control, performance control, cost control examples.

UNIT – IV 07 HoursPerformance Measures In Project Management: Performance indicators, Performance improvement for the CM & DM companies for better project management.

UNIT – V 12 HoursClosing Of Project: Types of Project termination, strategic implications, project in trouble, termination strategies, evaluation of termination possibilitiesProject Inventory Management: Nature of project inventory, supply and transportation of materials.

Reference Books:1. Project Management A System approach to planning scheduling & controlling, Harold

Kerzner, CBS Publishers and distributors. 20022. Project Management : Beningston Lawrence – Mc – Graw hill 19703. Project Management with PERT and CPM, Moder Joseph and Philips Cerel R., 2nd edition,

New York V – AN Nostrand Reinhold – 1976.4. Project Planning, Scheduling & Control, James P. Lewis, Meo Publishing Company. 20015. Project Management, Bhavesh M Patel, Vikas Publishing House, ISBN 21 – 259 – 0777 – 7

2002

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13IE522: FINANCIAL MANAGEMENT AND ACCOUNTING (4-0-0-4)

UNIT – I 12 HoursIntroduction To Financial Management: Forms of organization, direct and indirect taxes. Statutory Registration – excise Duty, central sales tax, VAT, service tax, international fund availability.Risk And Required Return: Risk and return relationship, methods of measuring the risk, financial risk, calculation of expected rate of return to the portfolio, numerical problems.

UNIT – II 7 HoursWorking Capital Management: Definition, need and factors influencing the working capital requirement. Determination of operating cycle, cash cycle and operating cycle analysis. Calculation of gross working capital and net working capital requirement.

UNIT – III 7 HoursLong Term Financing: Raising of finance from primary and secondary markets. Valuation of securities, features of convertible securities and warrants. Features of debt, types of debt instruments, return on investment (ROI) and credit rating of units. Shares, debentures.

UNIT – IV 14 HoursIntroduction: Book keeping – systems of book keeping, journal and ledger posting. Financial Statement, Preparation of Trial balance, profit and Loss Account, Balance Sheet with adjustments.Ratio Analysis / Accounting Ratio : Liquidity ratio – Current ratio, quick ratio, capital structure ratio – Debt – equity ratio, Coverage ratio, Profitability ratio, Profit margin, Return on assets, Activity rations – Inventory turnover ratio, Debtors turnover ratio. Preparation of the balance sheet from various ratios. Analysis of any one published balanced sheet.

UNIT – V 12 HoursCosting: Classification of cost, preparation of cost sheet, absorption and variable costing, job costing, process. Classification of the variances analysis – material, labour and overhead variances.Budgeting : Types of budgets – flexible budgets, preparation of cash budgets, purchase and production budgets and master budget, budgetary control, advantages & limitations of budgeting.

Reference Books: 1. Financial Management, Khan & Jain, text & problems TMH ISBN 0 – 07 – 460208 –A.200012. Financial Accounting, Costing and Management Accounting, S. M. Maheshwari, 20003. Financial Management, I.M. Pandey, Vikas Publication House ISBN 0 – 7069 – 5435- 1.20024. Financial Management, Abrish Gupta, Pearson.5. Financial Decision Making, Humpton, 20006. Financial Management, Theory and Practice, Prasanna Chandra TMH ISGN – 07-462047

9,3rd edition 2002

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13IE523: OPERRATION MANAGEMENT (4-0-0-4)

UNIT – I 12 HoursOperations Management Concepts: Introduction, Historical Development, Operation Management definition, Production and Manufacturing Systems, Product v/s Services, Productivity, Factors affecting Productivity, The environment of operations, Operational excellence and world class manufacturing practices.Operations Decision Making: Introduction, Characteristics of decisions, frame work Decision Making, Decision methodology, decision supports systems, Economic models, Statistical models.

UNIT – II 12 HoursSystem Design & Capacity Planning: Design capacity, System capacity, and Determination of Equipment requirement. Facility Location and Facility Layout, Location planning for Goods and Services, Foreign locations and facility layout.Forecasting: Forecasting Objectives and Uses, Forecasting Variables, Opinion and Judgmental methods, Time Series methods, Exponential smoothing, Regression and Correlation methods, Application and Control of Forecasts

UNIT – III 12 HoursAggregate Planning And Master Scheduling: Introduction, Planning and Scheduling, Objectives of Aggregate Planning, Aggregate Planning Methods, Master Scheduling Objectives, Master Scheduling Methods.Inventrory Control And Material S Management: Definition and need, Components Inventory control. Scope of Materials Management, Material handling, storage and retrieval, purpose of inventories, Dependent and Independent demand, Inventory cost and Order quantities, Inventory classification and counting.

UNIT – IV 08 HoursMaterial And Capacity Requirements Planning: Overview: MRP: Underlying Concepts, System Parameters, MRP Logic, System refinements, Capacity Management, CRP activities. Concept of continuous improvement of process.

UNIT – V 08 HoursPurchasing & Supply Management: Purchase and supply chain management – Approaches and supply chain management, make or buy decision, e – procurement, Vender development, rating, and certification .

Reference Books: 1. Operations Management, I.B. Mahadevan. Theory and practice, Pearson, 2007.2. Operations Managements, I. Monks, J.G., McGraw – Hill International Editions, 1987.3. Modern Production / Operations Management, Buffa, Wiley Eastern Ltd. 20014. Production and Operations Management, Pannerselvam. R., PHI. 20025. Productions & Operations Management, Adam & Ebert. 20026. Production and Operations Managements, Chary, S. N., Tata – McGraw Hill. 2002

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13IE524: TOTAL QUALITY MANAGEMENT (4-0-0-4)

Overall learning Objectives of the course: Students will study regarding the overview of TQM and contribution gurus. Students will study regarding leadership tool and techniques of TQM and quality

management systems Students will study regarding the introduction of QFD and QFD processes Students will study regarding SPC and control chart attributes. To study regarding product acceptance control. Design of single sampling ,double

sampling and multiple sampling plans. Students will study regarding reliability and life testing Students will study regarding experimental design and Taguchi’s philosophy of quality

engineering

UNIT – I 11 HoursOver view TQM: Introduction- Definition, Basics approach, Contribution of Gurus, TQM frame work, Historical Review, Benefits of TQM, TQM organization.Leadership: Characteristics of quality leaders, Deming’s philosophy, Role of TQM leaderships. Customer’s satisfaction, perception, Using customer’s complaints, feedback, employee involvement, Role of motivation, suggestion system, performance appraisal. Continuous process improvement. Juran’s Trilogy, PDSA cycle, problem solving methods, kaizen, Re-engineering, Six Sigma.

UNIT – II 08 HoursTool and Techniques of TQM: Bench marking, Definition, Process of bench marking. Quality management systems. ISO 9000 series of standards, Implementation and Documentation of Design, Rationale for implementation of quality by design. TQM excemplary organization, FMEA, Design FMEA and process FMEA studies.

UNIT – III 16 HoursStatical process control: Basic seven tools of quality control, control charts for variables, Implementation, Analysis using X-R charts. Process capability estimation, Process capability indices, Process improvement through problem analysis. Intensive coverage with numerical problems.Control chart attributes: Construction, interpretation and analysis of p-chart, np-charC- Chart, U- Chart, Process improvement through problem analysis.

UNIT – IV 08 HoursProduct acceptance control: Design of single sampling, Double sampling and multiple sampling plans. Analysis of the characteristic of the above sampling plans, Selection of sampling plans for product acceptance control

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UNIT – V 09 HoursReliability and life testing. (Basic treatment only ). Reliability analysis of components, standard configuration systems like series, parallel. Redundancy and priciples of design for reliability, procedure for life testing.Experimental Design: One factor designs, two factor designs, orthogonal, full factorial and fractional factorial design. Taguchi’s philosophy of quality engineering, Loss function, orthogonal array, signal to noise ratio, parameter design, tolerance design.

Reference Books:1. Total Quality Control by D H Busterfield , Pearsons Edn III, 2004 ,2. Statistical Quality Control by Grant Levenworth Edn,2000

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13IE368: GRAPH THEORY (4-0-0-4)

Pre-requisite: NIL

UNIT – I 10 HoursGraphs: Varieties, walks, connectedness, degrees, Ramsey’s problem, extremal graphs, intersection graphs, operations on graphs.Blocks: Cutpoints, bridges, and blocks, block graphs and cutpoint graphs.

UNIT – II 11 HoursTrees: Characterisation, centres and centroids, block-cutpoint trees, independent cycles and cocycles, matroids. Connectivity: Connectivity and line-connectivity, graphical variations of Menger’s theorem, further variations of Menger’s theorem.

UNIT – III 11 HoursPartitions Traversability: Eulerian and Hamiltonian graphs.Line Graphs: Properties, characterizations, special line graphs, line graphs and traversability, total graphs.

UNIT – IV 10 HoursCoverings: Coverings and independence, critical points and lines, line-core and point-core.Planarity: Plane and planar graphs, outerplanar graphs, Kuratowski’s theorem, genus, thickness, coarseness, crossing number.

UNIT – V 10 HoursColorability: Chromatic number, five color theorem, four color conjecture, Heawood map-coloring theorem, uniquely colorable graphs, critical graphs. Chromatic polynomial.Matrices: Adjacency, incidence and cycle matrices.

Reference Books:1. “Graph Theory,” F. Harary, Addison Wesley, 1969.2. “Graph Theory with Applications to Engineering and Computer Science,” N.

Deo,Prentice Hall, 1974.

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VIII SEMESTERCOURSE WORK

SUBJECTS

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13TE481: ENGINEERING MANAGEMENT (3-0-0-3)

Unit-I 13 hours Engineering and Management:- Engineering - origin, types of engineers. Management –Definition, management levels, management skills, managerial roles, Functions of managers, Management is Art or Science. Engineering management - synthesis

Historical Development of Engineering Management:- Management philosophies, Scientific management, Administrative management, Behavioral management.

Planning and Forecasting:- Nature of planning, The foundation for planning- Vision, purpose, mission, strategic planning, strategic management of Technology, Goals & objectives, MBO & MBE. Planning concepts. Forecasting-quantative & qualitative methods, regression models, Technological forecasting, Strategies for managing Technology.

Decision Making:- Nature of Decision Making. Tools for decision making- under certainity, risk, uncertainity.

Unit-II 13 hoursOrganizing- Nature of organizing, Traditional organizational theory-Departmentation, span of control, Line & staff relationships. Technology & modern organization structures, teams.Human aspects of organizing:- Authority & Power, Delegation Committes & Meetings.Motivating & Leading Technical people: - Motivation- various theories, Leadership-Nature, traits,approaches, styles. Motivating and Leading Technical Professionals.Controlling:-The process of controls, Finacial Controls, Non finacial controls.

Unit-III 13 hoursManaging the Research Function:-Protection of Ideas-patents, trade amrks, copy rights, trade secrets, Creativity, Making R&D organisation successful

Managing Engineering Design:-Nature of Engineering Design, Systems Engineering/New Product Development, Design Review, Designing for reliability, Other “Ilites” in designProject Planning & acquision: - The characteristics of a project, the project proposal process, project planning tools, types of Contracts.Project organization: - The project organization, the project manager, motivating project performance, Controlling cost & schedule

Text Books:-1. Managing Engineering and Technology by Babcock & Morse PHI, 2004

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Reference Books:-

1. Management-A Competency based Approach Hellriegel / Jackson / Slocum, 9th Edition Thomson south western

2. Management-Harold Koontz / Heinz Weir Rich, 9th Edition, McGraw Hill3. Principles of Management “by P.C Tripathi, P.N.Reddy, 4th Edition, McGraw Hill

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13TE482: COMPUTER ARCHITECTURE (3-0-0-3)

Overall learning objectives of the course: This course helps the students to understand the fundamental concepts of CPU, Control Unit, Memory Unit and architecture, Microprogramming & instruction set. Advanced topics such as risk, super scalar processors, parallel processing and pipelining are introduced.

UNIT – I 08Hours Instruction set and programs: prerequisites for assembly language programming, addressing modes, instruction set- classification, machine instruction decoding.

UNIT – II 09HoursMemory system - Basic concepts and organization of memory, cache and virtual memory concepts, secondary storage devices.

UNIT – III 10 HoursPipelining - concept, various factors affecting the performance and methods of overcoming them, hardware and software implications, influence of pipelining on instruction set design, introduction to superscalar processors. 12HoursInout-Output Organization- Peripheral devices, Input-Output interface, Asynchronous Data Transfer,Modes of transfer, Priority interrupt, DMA, Input-Output Processor(IOP), Serial communication.

Reference Books: 1. “Computer organization”, Carl Hamecher, Z Vranesic & Zaky, MH, Fifth edition 2. “Computer Architecture and Organisation”, J.P. Hayes, Tata McGraw-Hill, Second edition 3. “Computer system architecture” M Morris Mano, PHI, Second edition

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13TE483: RESEARCH METHODOLOGY (3-0-0-3)

UNIT-I 09 HoursIntroduction: Objective and Motivation in Research: Types of Research, Research Approaches, Research Process. Research Design: Meaning and need, features of good design, types of research design, important concepts relating to research design, different research designs, basic principles of experimental design. UNIT- II 11 Hours

Sampling Design: Steps in sampling design, Criterion for selecting a sampling procedure, Characteristics of a good sample design, different types of a sample design, Random Sample and Random Sampling Design.

Measurement and Scaling Techniques: Measurement scales, Sources of errors in measurement, Tests of sound measurements, Important scaling techniques.

Methods of Data Collection: Collection of primary Data, Observation method, interview method, Collection of data through questionnaire, Collection of data through schedules, Difference between questionnaire and schedule, Other methods of data collection, Collection of Secondary Data, Selection of appropriate method for data collection.

UNIT- III 10 Hours

Processing and Analysis of Data: Types of analysis, Measurement of relationship, Simple regression analysis, Multiple correlation and regression, partial correlation, association in case of attributes, other measures. Correlation and Regression Analysis, Method of Least Squares, Regression Vs. Correlation, Correlation Vs. Determination, Types of Correlation and their specific applications.

UNIT- IV 09 Hours

Sampling Fundamentals: Need for sampling, Some fundamental definitions, Important sampling distributions, Central limit theorem, Sampling theory, Concept of standard error, Estimation.

Statistical Interference: Tests of Hypothesis, Parametric Vs. Non- Parametric Tests, Procedure for Testing Hypothesis, Use of Statistical Techniques for Testing Hypothesis.

Reference Books:

1. Research Methodology: Methods and Techniques – C.R. Kothari, 2nd Edition, New Age International Publishers.

2. Research Methodology and Statistical Tools- P. Narayana Reddy and G.V.R.K.Acharyulu, 1st Edition, Excel Books, New Delhi, 2008

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Statistical Methods – S.P. Gupta, S. Chand & Sons, New Delhi, 2005.

13TE484 : RELIABILITY ENGINEERING (3-0-0-3)

UNIT-1 13 Hours

Elements Of Probability And Reliability : Introduction ,Probability Concept, Probability rules, Reliability and Quality, Failures and Failure modes, Causes of Failures and Unreliability.

Failure Data Analysis: Introduction, failure data, Mean Failure Rate, Mean Time to Failure (MTTF ), Mean Time between Failures(MTBF), MTTF in terms of failure density, Reliability in terms of hazard rate and failure density, MTTF in Integral Form.

UNIT-2 13 Hours

Hazard Models: Introduction, Constant Hazard, Linearly increasing Hazard, The Weibull Model, Density function and Distribution function, Reliability Analysis,

System Reliability: Introduction, Series configuration, Parallel configuration, Mixed configuration, An r - out – of - n structure, Methods of solving complex systems, Logic diagrams.

UNIT-3 13 Hours

Reliability Improvement: Introduction, Improvement of components, Redundancy, Element redundancy, Unit redundancy and Standby Redundancy.

Fault-Tree Analysis and other techniques: Fault-Tree Construction, Calculation of Reliability from Fault Tree, Tie- set and Cut-set

Repairable Systems: Introduction, Instantaneous Repair Rate, Mean Time to Repair, Reliability and Availability functions, Reliability allocation for a series system

Text Books:

1. Reliability Engineering, L.S. Srinath, Affiliated East-West Press, New Delhi.2. Reliability Engineering, L.Balagurusamy, Tata Mc-Graw Hill, New Delhi, 1984.

Reference Books:

1. Reliability Based Design, S. Rao, Mc-Graw Hill, 1992.2.Reliability Engineering, A.K.Govil, Tata Mc-Graw Hill, New Delhi.

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