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M.E Applied Electronics Department of Electronics and Communication Engineering Department of Electronics and Communication Engineering KUMARAGURU COLLEGE OF TECHNOLOGY (Autonomous Institution Affiliated to Anna University, Chennai) COIMBATORE – 641049 CURRICULUM & SYLLABUS CHOICE BASED CREDIT SYSTEM (REGULATIONS 2015) I to IV Semester M.E Applied Electronics Department of Electronics and Communication Engineering Department of Electronics and Communication Engineering Vision To be a centre of repute for learning and research with internationally accredited curriculum, state-of-the-art infrastructure and laboratories to enable the students to succeed in globally competitive environments in academics and industry Mission The Department is committed to set standards of excellence in its academic delivery aimed to imbibe right attitude and leadership quality in students to apply the acquired knowledge and skills to meet the challenges of evolving global and local needs adhering to professional ethics. Kumaraguru College of Technology Coimbatore – 641 049 Regulation 2015 CBCS – PG Curriculum Name of the PG Programme: Applied Electronics Foundation Courses (FC) S. Course Course Title Periods/Wk Preferred No. Code & Credits Semester L T P C 1. P15MAT108 Applied Algebra 3 1 0 4 I 2. P15AET103 Advanced Signal Processing 3 1 0 4 I Professional Core (PC) S. Course Course Title Periods /Wk Preferred No. Code & Credits Semester L T P C Specilisation 1: Advanced Digital System 1. P15AET101 3 1 0 4 I Design 2. P15AET102 VLSI Design Techniques 3 0 0 3 I 3. P15AET104 Embedded Systems 3 0 0 3 I Embedded Systems 4. P15AEP101 Laboratory 0 0 3 0 I Analog Integrated Circuit 5. P15AET201 3 1 0 4 II Design Advanced Control 6. P15AET202 3 0 0 3 II Engineering 7. P15AET203 ASIC Design 3 0 0 3 II 8. P15AEP201 VLSI Laboratory 0 0 0 3 II Professional Electives (PE) S. Course Course Title Periods /Wk Preferred No. Code & Credits Semester L T P C Advanced Digital Image 1. P15AETE01 3 0 0 3 II Processing 2. P15AETE02 Soft Computing 3 0 0 3 II 3. P15AETE03 Optimization Techniques 3 0 0 3 II 4. P15AETE04 Nonlinear Signal Processing 3 0 0 3 III Underwater Acoustic Signal 5. P15AETE05 3 0 0 3 I Processing Wavelets and Multiresolution 6. P15AETE06 3 0 0 3 II Processing 7. P15AETE07 Sparse Theory and Applications 3 0 0 3 III 8. P15AETE08 Advanced Computer Architecture 3 0 0 3 I 9. P15AETE09 Advanced Processors 3 0 0 3 I 10. P15AETE10 Virtual Instrumentation 3 0 0 3 I 11. P15AETE11 Power Electronics 3 0 0 3 I 12. P15AETE12 Principles of Remote Sensing 3 0 0 3 I 13. P15AETE13 Neural Networks and Applications 3 0 0 3 II Multimedia Compression 14. P15AETE14 3 0 0 3 II Techniques 15. P15AETE15 System Modeling and Simulation 3 0 0 3 II Synthesis and Optimization of 16. P15AETE16 3 0 0 3 II Digital Circuits 17. P15AETE17 Hardware Software Co-Design 3 0 0 3 II 18. P15AETE18 Robotics 3 0 0 3 II 19. P15AETE19 Microelectromechanical Systems 3 0 0 3 II Embedded Systems in Automotive 20. P15AETE20 3 0 0 3 II Applications 21. P15AETE21 Advanced Embedded Development 3 0 0 3 II 22. P15AETE22 Stochastic Models and Simulation 3 0 0 3 II Cellular and Mobile 23. P15AETE23 3 0 0 3 II Communication 24. P15AETE24 Low Power VLSI Design 3 0 0 3 III 25. P15AETE25 VLSI Signal Processing 3 0 0 3 III 26. P15AETE26 Analog VLSI Design 3 0 0 3 III 27. P15AETE27 Mixed Signal VLSI Design 3 0 0 3 III 28. P15AETE28 VLSI Testing and Testability 3 0 0 3 III Computer Aided Design of VLSI 29. P15AETE29 3 0 0 3 III Circuits 30. P15AETE30 Design and Analysis of Algorithms 3 0 0 3 III DSP Processor Architecture and 31. P15AETE31 3 0 0 3 III Programming 32. P15AETE32 DSP Integrated Circuits 3 0 0 3 III 33. P15AETE33 Sensors and Signal Conditioning 3 0 0 3 III 34. P15AETE34 Machine Vision and Learning 3 0 0 3 III 35. P15AETE35 Pattern Recognition 3 0 0 3 III Solid State Device Modeling and 36. P15AETE36 3 0 0 3 III Simulation 37. P15AETE37 Nanoelectronics 3 0 0 3 III Special Electives 38. P15AESE01 Research Methodology 3 0 0 3 IV 39 P15AESE02 Multirate Signal Processing 3 0 0 3 III Multi-Sensor Data And Image 40. P15AESE03 3 0 0 3 III Fusion 41. P15AESE04 Hyperspectral Image Processing 3 0 0 3 III 42. P15AESE05 Missile Guidance and Control 3 0 0 3 III Employability Enhancement Courses (EEC) S. Course Course Title Periods /Wk Preferred No. Code & Credits Semester L T P C 1. P15AEP301 Project Work Phase I 0 0 12 6 III 2. P15AEP401 Project Work Phase II 0 0 24 12 IV One Credit Courses# Advanced Embedded System STEPS Knowledge Services 1. P15AEIN01 Design using ARM P Ltd, Coimbatore Advanced Analog System STEPS Knowledge Services 2. P15AEIN02 Design P Ltd, Coimbatore Concepts in Modern Sensor Soliton Automation, 3. P15AEIN03 Technology Coimbatore # 1. Overall CGPA will not include the credits scored in one credit courses. 2. One Credit Courses can be opted only during 1st to 3rd semester and is restricted to one course per semester. SEMESTER – I Course Course Title Category Contact L T P C Code Hours Theory 1. P15MAT108 Applied Algebra FC 60 3 1 0 4 2. P15AET101 Advanced Digital System PC 60 3 1 0 4 Design 3. P15AET102 VLSI Design Techniques PC 45 3 0 0 3 4. P15AET103 Advanced Signal FC 60 3 1 0 4 Processing 5. P15AET104 Embedded Systems PC 45 3 0 0 3 6. E1 Elective I PE 45 3 0 0 3 Practicals 1. P15AEP101 Embedded Systems PC 45 0 0 3 1 Laboratory Total credits 22 SEMESTER – II Course Course Title Category Contact L T P C Code Hours Theory 1. Analog Integrated Circuit PC 60 3 1 0 4 P15AET201 Design 2. P15AET202 Advanced Control PC 45 3 0 0 3 Engineering 3. P15AET203 ASIC Design PC 45 3 0 0 3 4. E2 Elective II PE 45 3 0 0 3 5. E3 Elective III PE 45 3 0 0 3 6. E4 Elective IV PE 45 3 0 0 3 Practicals 1. P15AEP201 VLSI Laboratory PC 45 0 0 3 1 Total credits 20 SEMESTER – III Course Course Title Category Contact L T P C Code Hours Theory 1. E5 Elective V PE 45 3 0 0 3 2. E6 Elective VI PE 45 3 0 0 3 3. E7 Elective VII PE 45 3 0 0 3 4. E8 Self Study Elective PE 45 0 0 0 3 Practicals 1. P15AEP301 Project Work (Phase I) EEC 45 0 0 12 6 Total credits 18 SEMESTER – IV Course Course Title Category Contact L T P C Code Hours Practicals 1. P15AEP401 Project Work (Phase II) EEC 0 0 24 12 Total credits 12 Total Credits for 72 the Program Department of Electronics and Communication Engineering M.E APPLIED ELECTRONICS REGULATIONS 2015 SYLLABUS P15MAT108 - APPLIED ALGEBRA L T P C (Common to both Communication Systems and Applied Electronics) 3 1 0 4 Course Outcomes: Upon completion of the course the student should be able to: CO1: Solve linear equations and apply it to real-time problems. CO2: Apply matrix algebra and determinants to solve problems. CO3: Compute Eigen values, Eigen vectors and use linear transformations. CO4: Apply Gram-Schmidt orthogonalization procedure to compute orthogonal bases. CO5: Develop probabilistic models for observed phenomena Pre-requisite: NIL Hrs LINEAR EQUATIONS 09+03 System of linear equations - Row reduction & Echelon forms -Vector equations - Matrix equation Ax=b - Solution sets of linear systems: Direct and Iterative methods - Application of linear systems – Linear Independence. MATRIX ALGEBRA 09+03 Matrix operations - Inverse of a matrix - Characteristics of invertible matrices - Partitioned matrices -Matrix factorizations - Subspaces of Rn - Dimension & rank - Introduction to determinants - Properties of determinants - Cramer’s rule. VECTOR SPACES 09+03 Vector spaces & subspaces - Null spaces, column spaces & linear transformations - Linearly independent sets; Bases - Coordinate systems - Dimension of a vector space – Rank - Change of basis- Eigen values & Eigen vectors - Characteristic equation –Diagonalization of symmetric matrices - Eigenvectors & linear transformations - Complex Eigen values - Applications to differential equations. ORTHOGONALITY AND LEAST SQUARES 09+03 Inner product, Length and Orthogonality - Orthogonal sets - Orthogonal projections –Gram - Schmidt process - Inner product spaces - Applications of inner product spaces - Quadratic forms - Singular value decomposition - Applications to image processing. RANDOM VARIABLES 09+03 One-dimensional Random Variables – Moments and MGF – Binomial, Poisson, Geometric, Exponential and Normal distributions – Two-dimensional Random Variables – Marginal and Conditional distribution – Covariance and Correlation coefficient. Theory 45 Hrs Tutorial 15 Hrs Total 60 Hrs References: 1. David C. Lay, Steven R Lay and Judy J McDonald “Linear Algebra and its Applications”,Global Edition Pearson Education Ltd , , 2015 2. Gilbert Strang, “Linear Algebra and its Applications”,Cencage Learning (RS), Fouth edition,2007 3. Seymour Lipschutz , Marc Lipson, “Schaum's Outline of Linear Algebra”, McGraw Hill , Fifth Edition, 2013 4. Howard A. Anton , “Elementary Linear Algebra”, John Wiley & Sons, Ninth Edition, 2008 5. Veerarajan. T., “ Probability and Random Process”, Tata McGraw Hill,2008 P15AET101 - ADVANCED DIGITAL SYSTEM DESIGN (Common to both Communication Systems and Applied Electronics) L T P C 3 1 0 4 Course Outcomes: Upon completion of the course the student should be able to: Design synchronous and asynchronous sequential circuits based on CO1: specifications CO2: Develop algorithm and VHDL code for design of digital circuits CO3: Illustrate digital design implementation on PLDs CO4: Identify the various faults that can occur in digital circuits CO5: Employ different methods for fault detection Pre-requisite: 1. Digital Electronics Hrs SYNCHRONOUS SEQUENTIAL CIRCUIT DESIGN 09+03 Analysis of Clocked Synchronous Sequential Circuits - Modeling, state table reduction, state assignment, Design of Synchronous Sequential Networks, Design of iterative circuits - ASM chart - ASM realization.
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