B.E. / B.Tech ELECTRONICS AND COMMUNICATION ENGINEERING Curriculum & Syllabi Regulation 2008
B.E. / B.Tech ELECTRONICS AND COMMUNICATION ENGINEERING
Curriculum & Syllabi Regulation 2008
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MA2264 NUMERICAL METHODS SYLLABI
MA2264 NUMERICAL METHODS SYLLABI
ANNA UNIVERSITY, CHENNAI
AFFILIATED INSTITUTIONS
R - 2008
B.E. ELECTRICAL AND ELECTRONICS ENGINEERING
MA2264 NUMERICAL METHODS
AIM
With the present development of the computer technology, it is necessary to develop efficient algorithms for solving problems in science, engineering and technology. This course gives a complete procedure for solving different kinds of problems occur in engineering numerically.
OBJECTIVES
At the end of the course, the students would be acquainted with the basic concepts in numerical methods and their uses are summarized as follows:
i. The roots of nonlinear (algebraic or transcendental) equations, solutions of large system of linear equations and eigen value problem of a matrix can be obtained numerically where analytical methods fail to give solution.
ii. When huge amounts of experimental data are involved, the methods discussed on interpolation will be useful in constructing approximate polynomial to represent the data and to find the intermediate values.
iii. The numerical differentiation and integration find application when the function in the analytical form is too complicated or the huge amounts of data are given such as series of measurements, observations or some other empirical information.
iv. Since many physical laws are couched in terms of rate of change of one/two or more independent variables, most of the engineering problems are characterized in the form of either nonlinear ordinary differential equations or partial differential equations. The methods introduced in the solution of ordinary differential equations and partial differential equations will be useful in attempting any engineering problem.
UNIT I SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS 9
Solution of equation - Fixed point iteration: x=g(x) method – Newton’s method – Solution of linear system by Gaussian elimination and Gauss-Jordon methods - Iterative methods - Gauss-Seidel methods - Inverse of a matrix by Gauss Jordon method – Eigen value of a matrix by power method and by Jacobi method for symmetric matrix.
UNIT II INTERPOLATION AND APPROXIMATION 9
Lagrangian Polynomials – Divided differences – Interpolating with a cubic spline – Newton’s forward and backward difference formulas.
UNIT III NUMERICAL DIFFERENTIATION AND INTEGRATION 9
Differentiation using interpolation formulae –Numerical integration by trapezoidal and Simpson’s 1/3 and 3/8 rules – Romberg’s method – Two and Three point Gaussian quadrature formulas – Double integrals using trapezoidal and Simpsons’s rules.
UNIT IV INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS 9
Single step methods: Taylor series method – Euler methods for First order Runge – Kutta method for solving first and second order equations – Multistep methods: Milne’s and Adam’s predictor and corrector methods.
UNIT V BOUNDARY VALUE PROBLEMS IN ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS 9
Finite difference solution of second order ordinary differential equation – Finite difference solution of one dimensional heat equation by explicit and implicit methods – One dimensional wave equation and two dimensional Laplace and Poisson equations.
TEXT BOOKS
1. VEERARJAN, T and RAMACHANDRAN.T, ‘NUMERICAL METHODS with programming in ‘C’ Second Edition Tata McGraw Hill Pub.Co.Ltd, First reprint 2007.
2. SANKAR RAO K’ NUMERICAL METHODS FOR SCIENTISTS AND ENGINEERS –3rd Edition Princtice Hall of India Private, New Delhi, 2007.
REFERENCES
1. P. Kandasamy, K. Thilagavathy and K. Gunavathy, ‘Numerical Methods’, S.Chand Co. Ltd., New Delhi, 2003.
2. GERALD C.F. and WHEATE, P.O. ‘APPLIED NUMERICAL ANALYSIS’… Edition, Pearson Education Asia, New Delhi.
With the present development of the computer technology, it is necessary to develop efficient algorithms for solving problems in science, engineering and technology. This course gives a complete procedure for solving different kinds of problems occur in engineering numerically.
OBJECTIVES
At the end of the course, the students would be acquainted with the basic concepts in numerical methods and their uses are summarized as follows:
i. The roots of nonlinear (algebraic or transcendental) equations, solutions of large system of linear equations and eigen value problem of a matrix can be obtained numerically where analytical methods fail to give solution.
ii. When huge amounts of experimental data are involved, the methods discussed on interpolation will be useful in constructing approximate polynomial to represent the data and to find the intermediate values.
iii. The numerical differentiation and integration find application when the function in the analytical form is too complicated or the huge amounts of data are given such as series of measurements, observations or some other empirical information.
iv. Since many physical laws are couched in terms of rate of change of one/two or more independent variables, most of the engineering problems are characterized in the form of either nonlinear ordinary differential equations or partial differential equations. The methods introduced in the solution of ordinary differential equations and partial differential equations will be useful in attempting any engineering problem.
UNIT I SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS 9
Solution of equation - Fixed point iteration: x=g(x) method – Newton’s method – Solution of linear system by Gaussian elimination and Gauss-Jordon methods - Iterative methods - Gauss-Seidel methods - Inverse of a matrix by Gauss Jordon method – Eigen value of a matrix by power method and by Jacobi method for symmetric matrix.
UNIT II INTERPOLATION AND APPROXIMATION 9
Lagrangian Polynomials – Divided differences – Interpolating with a cubic spline – Newton’s forward and backward difference formulas.
UNIT III NUMERICAL DIFFERENTIATION AND INTEGRATION 9
Differentiation using interpolation formulae –Numerical integration by trapezoidal and Simpson’s 1/3 and 3/8 rules – Romberg’s method – Two and Three point Gaussian quadrature formulas – Double integrals using trapezoidal and Simpsons’s rules.
UNIT IV INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS 9
Single step methods: Taylor series method – Euler methods for First order Runge – Kutta method for solving first and second order equations – Multistep methods: Milne’s and Adam’s predictor and corrector methods.
UNIT V BOUNDARY VALUE PROBLEMS IN ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS 9
Finite difference solution of second order ordinary differential equation – Finite difference solution of one dimensional heat equation by explicit and implicit methods – One dimensional wave equation and two dimensional Laplace and Poisson equations.
L = 45 T = 15 TOTAL = 60 PERIODS
TEXT BOOKS
1. VEERARJAN, T and RAMACHANDRAN.T, ‘NUMERICAL METHODS with programming in ‘C’ Second Edition Tata McGraw Hill Pub.Co.Ltd, First reprint 2007.
2. SANKAR RAO K’ NUMERICAL METHODS FOR SCIENTISTS AND ENGINEERS –3rd Edition Princtice Hall of India Private, New Delhi, 2007.
REFERENCES
1. P. Kandasamy, K. Thilagavathy and K. Gunavathy, ‘Numerical Methods’, S.Chand Co. Ltd., New Delhi, 2003.
2. GERALD C.F. and WHEATE, P.O. ‘APPLIED NUMERICAL ANALYSIS’… Edition, Pearson Education Asia, New Delhi.
CS2411 OPERATING SYSTEMS SYLLABI
CS2411 OPERATING SYSTEMS SYLLABI
ANNA UNIVERSITY, CHENNAI
AFFILIATED INSTITUTIONS
R - 2008
B.E. ELECTRICAL AND ELECTRONICS ENGINEERING
CS2411 OPERATING SYSTEMS
Aim:
To learn the various aspects of operating systems such as process management, memory management, file systems, and I/O management
UNIT I PROCESSES AND THREADS 9
Introduction to operating systems – review of computer organization – operating system structures – system calls – system programs – system structure – virtual machines. Processes: Process concept – Process scheduling – Operations on processes – Cooperating processes – Interprocess communication – Communication in client-server systems. Case study: IPC in Linux. Threads: Multi- threading models – Threading issues. Case Study: Pthreads library
UNIT II PROCESS SCHEDULING AND SYNCHRONIZATION 10
CPU Scheduling: Scheduling criteria – Scheduling algorithms – Multiple-processor scheduling – Real time scheduling – Algorithm Evaluation. Case study: Process scheduling in Linux. Process Synchronization: The critical-section problem – Synchronization hardware – Semaphores – Classic problems of synchronization – critical regions – Monitors. Deadlock: System model – Deadlock characterization – Methods for handling deadlocks – Deadlock prevention – Deadlock avoidance – Deadlock detection – Recovery from deadlock.
UNIT III STORAGE MANAGEMENT 9
Memory Management: Background – Swapping – Contiguous memory allocation – Paging – Segmentation – Segmentation with paging. Virtual Memory:Background – Demand paging – Process creation – Page replacement –Allocation of frames – Thrashing. Case Study: Memory management in Linux
UNIT IV FILE SYSTEMS 9
File-System Interface: File concept – Access methods – Directory structure –File-system mounting – Protection. File-System Implementation : Directory implementation – Allocation methods – Free- space management – efficiency and performance – recovery – log-structured file systems. Case studies: File system in Linux – file system in Windows XP ,
UNIT V I/O SYSTEMS 8
I/O Systems – I/O Hardware – Application I/O interface – kernel I/O subsystem – streams – performance. Mass-Storage Structure: Disk scheduling – Disk management – Swap-space management – RAID – disk attachment – stable storage – tertiary storage. Case study: I/O in Linux
TOTAL : 45 PERIODS
To learn the various aspects of operating systems such as process management, memory management, file systems, and I/O management
UNIT I PROCESSES AND THREADS 9
Introduction to operating systems – review of computer organization – operating system structures – system calls – system programs – system structure – virtual machines. Processes: Process concept – Process scheduling – Operations on processes – Cooperating processes – Interprocess communication – Communication in client-server systems. Case study: IPC in Linux. Threads: Multi- threading models – Threading issues. Case Study: Pthreads library
UNIT II PROCESS SCHEDULING AND SYNCHRONIZATION 10
CPU Scheduling: Scheduling criteria – Scheduling algorithms – Multiple-processor scheduling – Real time scheduling – Algorithm Evaluation. Case study: Process scheduling in Linux. Process Synchronization: The critical-section problem – Synchronization hardware – Semaphores – Classic problems of synchronization – critical regions – Monitors. Deadlock: System model – Deadlock characterization – Methods for handling deadlocks – Deadlock prevention – Deadlock avoidance – Deadlock detection – Recovery from deadlock.
UNIT III STORAGE MANAGEMENT 9
Memory Management: Background – Swapping – Contiguous memory allocation – Paging – Segmentation – Segmentation with paging. Virtual Memory:Background – Demand paging – Process creation – Page replacement –Allocation of frames – Thrashing. Case Study: Memory management in Linux
UNIT IV FILE SYSTEMS 9
File-System Interface: File concept – Access methods – Directory structure –File-system mounting – Protection. File-System Implementation : Directory implementation – Allocation methods – Free- space management – efficiency and performance – recovery – log-structured file systems. Case studies: File system in Linux – file system in Windows XP ,
UNIT V I/O SYSTEMS 8
I/O Systems – I/O Hardware – Application I/O interface – kernel I/O subsystem – streams – performance. Mass-Storage Structure: Disk scheduling – Disk management – Swap-space management – RAID – disk attachment – stable storage – tertiary storage. Case study: I/O in Linux
TOTAL : 45 PERIODS
TEXT BOOKS
1. Silberschatz, Galvin, and Gagne, “Operating System Concepts”, Sixth Edition, Wiley India Pvt Ltd, 2003.
2. D. M. Dhamdhere, “Operating Systems: A concepts based approach”, Second Edition, Tata McGraw-Hill Publishing Company Ltd., 2006.
REFERENCES
1. Andrew S. Tanenbaum, “Modern Operating Systems”, Second Edition, Pearson Education/PHI, 2001.
2. Harvey M. Deital, “Operating Systems”, Third Edition, Pearson Education, 2004.
1. Silberschatz, Galvin, and Gagne, “Operating System Concepts”, Sixth Edition, Wiley India Pvt Ltd, 2003.
2. D. M. Dhamdhere, “Operating Systems: A concepts based approach”, Second Edition, Tata McGraw-Hill Publishing Company Ltd., 2006.
REFERENCES
1. Andrew S. Tanenbaum, “Modern Operating Systems”, Second Edition, Pearson Education/PHI, 2001.
2. Harvey M. Deital, “Operating Systems”, Third Edition, Pearson Education, 2004.
EC2311 COMMUNICATION ENGINEERING SYLLABI
EC2311 COMMUNICATION ENGINEERING SYLLABI
ANNA UNIVERSITY, CHENNAI
AFFILIATED INSTITUTIONS
R - 2008
B.E. ELECTRICAL AND ELECTRONICS ENGINEERING
EC2311 COMMUNICATION ENGINEERING
AIM
To introduce the concepts of communication systems engineering using wire and wireless medium
OBJECTIVES
- · To introduce different methods of analog communication and their significance
- · To introduce Digital Communication methods for high bit rate transmission
- · To introduce the concepts of source and line coding techniques for enhancing rating of transmission of minimizing the errors in transmission.
- · To introduce MAC used in communication systems for enhancing the number of users.
- · To introduce various media for digital communication
UNIT I ANALOG COMMUNICATION 9
AM – Frequency spectrum – vector representation – power relations – generation of AM – DSB, DSB/SC, SSB, VSB AM Transmitter & Receiver; FM and PM – frequency spectrum – power relations : NBFM & WBFM, Generation of FM and DM, Amstrong method & Reactance modulations : FM & PM frequency.
Pulse modulations – concepts of sampling and sampling theormes, PAM, PWM, PPM, PTM, quantization and coding : DCM, DM, slope overload error. ADM, DPCM, OOK systems – ASK, FSK, PSK, BSK, QPSK, QAM, MSK, GMSK, applications of Data communication.
UNIT III SOURCE CODES, LINE CODES & ERROR CONTROL (Qualitative only) 9
Primary communication – entropy, properties, BSC, BEC, source coding : Shaum, Fao, Huffman coding : noiseless coding theorum, BW – SNR trade off codes: NRZ, RZ, AMI, HDBP, ABQ, MBnB codes : Efficiency of transmissions, error control codes and applications: convolutions & block codes.
UNIT IV MULTIPLE ACCESS TECHNIQUES 9
SS&MA techniques : FDMA, TDMA, CDMA, SDMA application in wire and wireless communication : Advantages (merits) :
UNIT V SATELLITE, OPTICAL FIBER – POWERLINE, SCADA 9
Orbits : types of satellites : frequency used link establishment, MA techniques used in satellite communication, earth station; aperture actuators used in satellite – Intelsat and Insat: fibers – types: sources, detectors used, digital filters, optical link: power line carrier communications: SCADA
TOTAL : 45 PERIODS
TEXT BOOKS
1.Taub & Schiling “Principles of communication systems” Tata McGraw hill 2007
2.J.Das “Principles of digital communication” New Age International, 1986
REFERENCES
1. Kennedy and Davis “Electronic communication systems” Tata McGraw hill, 4th edition, 1993.
2. Sklar “Digital communication fundamentals and applications“ Pearson Education,2001
3. Bary le, Memuschmidt, digital Communication, Kluwer Publication, 2004.
4. B.P.Lathi “Modern digital and analog communication systems” Oxford University Press, 1998.
1.Taub & Schiling “Principles of communication systems” Tata McGraw hill 2007
2.J.Das “Principles of digital communication” New Age International, 1986
REFERENCES
1. Kennedy and Davis “Electronic communication systems” Tata McGraw hill, 4th edition, 1993.
2. Sklar “Digital communication fundamentals and applications“ Pearson Education,2001
3. Bary le, Memuschmidt, digital Communication, Kluwer Publication, 2004.
4. B.P.Lathi “Modern digital and analog communication systems” Oxford University Press, 1998.
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