M.E. (Applied Electr

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  • St. PETERS UNIVERSITY

    St. Peters Institute of Higher Education and Research (Declared under section 3 of UGC Act 1956)

    Avadi, Chennai 600 054.

    M.E. (APPLIED ELECTRONICS) PROGRAMME

    (I to IV SEMESTERS)

    REGULATIONS AND SYLLABI

    (REGULATIONS 2013)

    (Effective from the Academic Year 2013-14)

  • 2

    M.E. (APPLIED ELECTRONICS) PROGRAMME

    Regulations and Syllabi

    (Effective from the Academic Year 2013-14)

    1. Eligibility: Candidates who passed B.E/B.Tech.(ECE/EIE/EEE/Electronics/ETE)/

    AMIE/AMIETE/DMIT of the University or any other equivalent examination thereto are eligible

    for admission to Two Year M.E. (Applied Electronics) Programme.

    2. Duration: Two Years Comprising 4 Semesters. Each semester has a minimum 90 working

    days with a minimum of 5 hours a day.

    3. Medium: English is the medium of instruction and examination.

    4. Weightage for Internal and End Assessment: The weightage for Continuous

    Assessment (CA) and End Assessment (EA) be 25:75 unless the ratio is specifically mentioned

    in the scheme of Examinations.

    5. Credit System: Credit system be followed with 18 credits for each semester and each

    credit is equivalent to 25 hours of effective study provided in the Time Table.

    6. Scheme of Examinations( for I to IV Semesters)

    I Semester

    Code No. Course Title Credit Marks

    Theory CA EA Total

    113AEPT01 Applied Mathematics 2 25 75 100

    113AEPT02 Advanced Digital Signal Processing 2 25 75 100

    113AEPT03 Advanced Digital Logic System Design 3 25 75 100

    113AEPT04 Advanced Microprocessor and Microcontroller 3 25 75 100 113AEPT05 Elective I: Advanced Digital Image Processing 3 25 75 100

    113AEPT11 Elective II : Digital Control Engineering 3 25 75 100

    Practical

    113AEPP07 Electronics System Design Laboratory I 2 25 75 100

    Total 18 175 525 700

    II Semester

    Code No. Course Title Credit Marks

    Theory CA EA Total

    213AEPT01 Analysis and Design of Analog Integrated Circuits 2 25 75 100

    213AEPT02 ASIC and FPGA Design 2 25 75 100

    213AEPT03 Embedded Systems 3 25 75 100

    213AEPT04 Multicore Architectures 3 25 75 100

    213AEPT07 Elective III: Fiber Optic Sensors 3 25 75 100

    213AEPT14 Elective IV: Data Converters 3 25 75 100

    Practical

    213AEPP07 Electronics System Design Laboratory II 2 25 75 100

    Total 18 175 525 700

    III Semester

    Code No. Course Title Credit Marks

    Theory CA EA Total

    313AEPT01 Electromagnetic Interference and Compatibility 3 25 75 100

    313AEPT02 Elective V: Testing of VLSI Circuits 3 25 75 100

    313AEPT12 Elective VI: System on Chip Design 3 25 75 100 Project

    313AEPP01

    Project Work (Phase I)* 9 25

    65 100

    Viva voce 10

    Total 18 100 300 400

    * Candidates who have completed Project work (Phase I) successfully are eligible for Project

    Work (Phase - II) Examination.

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    IV Semester

    Code No. Course Title Credit Marks

    Project CA EA Total

    413AEPP01

    Project Work (Phase II)* 18 25 65 100

    Viva Voce 10

    Total 18 25 75 100

    List of Electives

    Course Code Electives Credit

    I Semester Elective - I 3

    113AEPT05 Advanced Digital Image Processing 3 113AEPT06 Wavelet Transforms and Applications 3 113AEPT07 Soft Computing 3 113AEPT08 Computer Architecture and Parallel Processing 3 113AEPT09 Three Dimensional Network on Chip 3

    Elective - II

    113AEPT10 CAD for VLSI Circuits 3 113AEPT11 Digital Control Engineering 3 113AEPT12 Hardware - Software Co Design 3 113AEPT13 Quantum Electronics 3 113AEPT14 Sensor and Signal Conditioning 3

    II Semester Elective - III 3

    213AEPT05 VLSI Design Techniques 3

    213AEPT06 Low Power VLSI Design 3

    213AEPT07 Fiber Optic Sensors 3 213AEPT08 DSP Integrated Circuits 3 213AEPT09 RF System Design 3 213AEPT10 Analog and Mixed Mode VLSI Design 3

    Elective - IV

    213AEPT11 Analog VLSI Design 3 213AEPT12 Physical Design of VLSI Circuits 3 213AEPT13 VLSI Signal Processing 3 213AEPT14 Data Converters 3

    213AEPT15 Solid State Device Modeling and Simulation 3 213AEPT16 High Performance Networks 3

    III Semester Elective -V 3

    313AEPT02 Testing of VLSI Circuits 3 313AEPT03 VLSI for Wireless Communication 3 313AEPT04 Photonics 3 313AEPT05 Nano Electronics 3 313AEPT06 Pattern Recognition 3 313AEPT07 Optical Computing 3

    Elective -VI

    313AEPT08 Robotics 3 313AEPT09 Optical Imaging Techniques 3 313AEPT10 MEMS and NEMS 3 313AEPT11 Speech and Audio Signal Processing 3 313AEPT12 System on Chip Design 3 313AEPT13 Reconfigurable Computing 3 313AEPT14 Wireless Adhoc and Sensor Networks 3

    7. Passing Requirements: The minimum pass mark (raw score) be 50% in End Assessment

    (EA) and 50% in Continuous Assessment (CA) and End Assessment (EA) put together. No

    minimum mark (raw score) in Continuous Assessment (CA) be prescribed unless it is

    specifically mentioned in the Scheme of Examination.

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    8. Grading System: Grading System on a 10 Point Scale be followed with 1 mark = 0.1

    Grade point to successful candidates as given below.

    CONVERSION TABLE

    (1 mark = 0.1 Grade Point on a 10 Point Scale)

    Range of Marks Grade Point Letter Grade Classification

    90 to 100 9.0 to 10.0 O First Class

    80 to 89 8.0 to 8.9 A First Class

    70 to 79 7.0 to 7.9 B First Class

    60 to 69 6.0 to 6.9 C First Class

    50 to 59 5.0 to 5.9 D Second Class

    0 to 49 0 to 4.9 F Reappearance

    Procedure for Calculation

    Cumulative Grade Point Average (CGPA) = Sum of Weighted Grade Points

    Total Credits

    = (CA+EA) C

    C

    Where Weighted Grade Points in each Course = Grade Points (CA+EA)

    multiplied by Credits

    = (CA+EA)C

    Weighted Cumulative Percentage of Marks(WCPM) = CGPAx10

    C- Credit, CA-Continuous Assessment, EA- End Assessment

    9. Pattern of the Question Paper: The question paper for End Assessment will be set for

    three hours and for the maximum of 100 marks with following divisions and details.

    Part A: 10 questions (with equal distribution to all units in the syllabus).

    Each question carries 2 marks.

    Part B: 5 questions with either or type (with equal distribution to all

    Units in the syllabus). Each question carries 16 marks.

    The total marks scored by the candidates will be reduced to the maximum

    prescribed in the Regulations.

    10. Effective Period of Operation for the Arrear Candidates: Two Year grace period is

    provided for the candidates to complete the arrear examination, if any.

    Registrar

    11. Syllabus

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    Common To M.E. (APPLIED ELECTRONICS & BIO-MEDICAL ENGINEERING)

    I Semester

    113AEPT01 & 113BMPT01 APPLIED MATHEMATICS

    OBJECTIVES:

    To develop the ability to apply the concepts of Matrix theory and Liner programming in

    Electrical Engineering problems.

    To familiarize the students in calculus of variations and queuing model

    1. CALCULUS OF VARIATION

    Introduction Eulers equation several dependent variables Lagranges equation of

    Dynamics Integrals involving derivatives higher that the first Problem with constrains

    Direct methods and eigen value problems.

    2. MATRIX THEORY

    Eigen values using QR transformations generalized eigenvectors canonical forms

    singular value decomposition and applications pseudo inverse least square.

    3. LINEAR PROGRAMMING PROBLEM

    Graphical method simplex method Big M Technique Integer programming.

    4.TWO DIMENSIONAL RANDOM VARIABLES

    Joint distributions Marginal and Conditional distributions functions of two dimensional

    random variables Regression curve correlation.

    5. QUEUEING MODELS

    Poisson Process Markovian queues Single and Multi-server Models Littles formula -

    Machine Interference Model Steady State analysis Self Service queue.

    REFERENCES:

    1. Gupta, A.S., Calculus of Variations with Applications, Prentice Hall of India New Delhi,

    1997.

    2. Bronson.R, Matrix Operation, Schaums Outline Series, Mc Graw Hill, Newyork, 1989.

    3. Richard Bronson, Gabriel B.Costa, Linear Algebra, Academic Press, Second Edition,

    2007

    4. Donald Gross and Carl M. Harris, Fundamentals of Queueing Theory, 2nd edition,

    John Wiley and Sons, New York (1985).

    5. S.C. Gupta and Kapoor V.K.Fundamental of Mathematics Statistics , Suhan and Sons

    2001.\

    6. Richard Johnson Miler and Freund Probability and Statistics for Engineering-7th Edition-

    Printice Hall and India private Ltd, New Delhi.

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    113AEPT02 - ADVANCED DIGITAL SIGNAL PROCESSING

    COURSE OBJECTIVES:

    The purpos