Punjab Engineering College Punjab Engineering College Punjab Engineering College

ELECTRONIC PRODUCT DESIGN & TECHNOLOGY
(In collaboration with CDAC, Mohali)

2nd Semester

S. No.

Course Code

Subject

L

T

P

Credits

 

1

EC 524

Neural Networks

4

0

0

4

 

2

EC 527

Physical Design of Electronic Equipment

4

0

0

4

 

3

MA 505

Design of experiments & Research Methodology

4

0

0

4

 

4

 

Elective II

4

0

0

4

 

 

Elective II

1

EC 523

Advanced Digital Signal Processing

 

 

 

2

EC 526

Nanotechnology

 

 

 

 

 

3

EC 528

Embedded Systems

 

 

 

 

 

 

Course Name       :               ADVANCED DIGITAL SIGNAL PROCESSING
Course Code        :               EC 523
Credits                  :               4
L T P                     :               4 0 0
Lecture wise breakup                                                                                                                             No of lectures
INTRODUCTION:                                                                                                                                              (06)
Review of discrete Convolution, discrete time Fourier transform and Z- transforms, DFT, FFT. Relationship between continuous and discrete time systems; Difference equation for digital filters: definition and properties. MATLAB problems.
DIGITAL FILTERS:                                                                                                                                          (06)
FIR filters, IIR filters. Digital filter design techniques: Impulse invariance. Bilinear transformation, finite difference, window design methods, frequency sampling optimization algorithms. MATLAB problems.
Wavelet Transform:                                                                                                                             (03)
Continuous & discrete wavelet transforms, Filter Banks. MATLAB problems.
TMS320C5X SERIES PROCESSORS:                                                                                                         (10)
Architecture, Memory, Interrupts, Addressing modes, Assembly language programming.
Effects of finite word length in DSP systemS:                                                                (02)
Rounding and truncation errors, quantization effects in A/D converter, FIR and IIR filters
Multi-rate Signal Processing:                                                                                                       (03)
Integer sampling rate conversion. Interpolation and decimation filters. Design of practical sampling rate converters. Sampling rate conversion by an arbitrary factor. Applications of multi-rate signal processing in telecommunications.
Adaptive Filtering:                                                                                                                                (03)
Concepts, Adaptive filters as noise cancellers, adaptive line enhancer, in-system modeling. Basic Wiener filter.
Applications of DSP:                                                                                                                               (02)
Radar, sonar, biomedical, communications, speech and image processing.
Basic Concepts of Speech Signal Processing                                                                     (02)
BOOK:
  1. Digital Signal Processing-E C Ifeacher & B W Jervis; PHI
REFERENCES:
1.     Digital Signal Processing-A.V. Oppenheim & B.W. Jervis; PHI.
2.     Digital Signal Processing-J.G. Prokis & D.G. Manolakis; PHI.
3.     Digital Signal Processing-M.H. Hayes; Schaum’s Outlines.
4.     Digital Signal Processing-S Salivahanan, A Vallavraj & C Gyanapriya; TMH. Course Name       :               NEURAL NETWORKS
Course Code        :               EC 524
Credits                  :               4
L T P                     :               4 0 0
Lecture wise breakup                                                                                                                             No of lectures
INTRODUCTION                                                                                                                                               (4)
What is Neural Net?, Where are Neural Nets being used?, How are neural Networks used?, Who is developing Neural Networks?, When Neural Nets began: the McCulloch-Pitt
SIMPLE NEURAL NETS FOR PATTERN CLASSIFICATION                                                             (6)
Hebbnet, Perceptron, Adaline
PATTERN ASSOCIATION                                                                                                                              (8)
Training Algorithms for Pattern Association, Heteroassociative Memory Neural Network, Autoassociative Net, Iterative Autoassociative Net, Bidirectional Associative Memory (BAM)
NEURAL NETWORKS BASED ON COMPETITION                                                                                (6)
Fixed Weight Competitive Nets, Kohonen Self Organizing Maps, Learning Vector Quantization, Comunterpropagation
ADAPTIVE RESONANCE THEORY                                                                                                            (5)
Introduction, ART 1, ART 2
BACKPROPAGATION NEURAL NET                                                                                                         (8)
Standard Backpropagation, Variations, Theoretical Results
A SAMPLER OF OTHER NEURAL NETS                                                                                  (6)
Fixed Weight Nets Constrained Optimization, A few More Nets that Learn, Adaptive Architectures, Neocognitron
Book:
1.     Fundamentals of Neural Networks, Laurence Fausett, Pearson Education
REFERENCES:
1.     Neural Networks, Haykin, Pearon Education
2.     Neural Networks, Satish Kumar, TMH
3.     Neural Networks for Pattern Recognition, Bishop, Oxford
4.     Neural Networks Design, Hagan , Thomson learningCourse Name       :               NANO TECHNOLOGY
Course Code        :               EC 526
Credits                  :               4
L T P                     :               4 0 0
Lecture wise breakup                                                                                                                             No of lectures
INTRODUCTION:                                                                                                                                              (16)
Introduction to nanoscale systems, lengh energy and time scales, top down approach to nanolithography, spatial resolution of optical, deep ultraviolet, x-ray, electron beam and icon beam lithography, single electron transistor, coulomb blockade effects in ultra small metallic tunnel junctional.
QUANTUM MECHANICS:                                                                                                                              (18)
Quantum confinement of electron in semiconductor nano structures, two dimensional confinement (Quantum wells) Band gap engineering, epitaxy landaeur-buttiker formatism for conduction in confined geometrical, one dimensional confinement, quantum point contacts, quantum dots and Bottom up approach; Introduction to quantum methods for information processing.
MOLECULAR TECHNIQUES:                                                                                                                      (16)
Molecular Electronics, Chemical self assembly, carbon nano tubes, self assembled nano layers, Electromechanical techniques, applications in biological and chemical detection, Atomic scale characterization techniques, scanning tunneling microscopy, atomic force microscopy
BOOK:
  1. Beenaker and Van Houten, “Quantum Transport in Semiconductor Nanostructures in Solid State Physics” Ehemreich and Turnbell, A Cademic Press, 1991.
REFERENCES:
  1. David Ferry “Transport in Nao Structures” Cambridge University Press 2000.
  2. Y Imry “Introduction to Meroscopic Physics”, Oxford University Press 1997.
  3. S Dutta “Electron Transport in Mesoscopic System” Cambridge University Press 1995.
  4. H. Grabert and M Devoret “Single Charge Tunneling” Plenum Press 1992.
Course Name       :               PHYSICAL DESIGN OF ELECTRONIC EQUIPMENT
Course Code        :               EC 527
Credits                  :               4
L T P                     :               4 0 0
Lecture wise breakup                                                                                                                             No of lecturesINTRODUCTION                                                                                                                                               (01) Product Design Methodology, Product Planning data Collection
CONTROL PANEL LAYOUT                                                                                                                          (05)
Types of controls, Design and Organisation of control Panel, Engineering Considerations, Layout of components, Control MountingsCOMPUTER AIDED PHYSICAL DESIGN                                                                                  (08) Two Dimensional layouts, Concept of layers, Three Modeling, Solid, Surface, Wire Frame modeling, Techniques of Rendering and Shading, Analysis of Members, Structural designAESTHETICS                                                                                                                                                     (05) Sources of New Ideas, Creativity Techniques, Elements of Aesthetics, Form, Shape, Color, Graphics, Balance, HarmonyERGONOMICS                                                                                                                                                   (06) Application of ergonomics in Design, Man machine interface, Ergonomics and Aesthetics consideration for development of control panelPACKAGING                                                                                                                                                       (07) Standardization and modulation, Design considerations for interconnection, Types of interconnections, Wires, cables, connector, Treatment of VibrationTHERMAL DESIGN                                                                                                                                         (07) Thermal management of electronic equipment, Thermal design considerations, Component level, board level, system level, Fans and system operating characteristics, Heat Sink designMATERIALS                                                                                                                                                       (01) Selection of Materials, Sheet metals and plastic, processes and surface finishingBOOK:
  1. Scott A.W., Cooling of Electronic Equipment (Text)
REFERENCES:
1.     Ergonomics at work, David J. Oborne, Pub. Wiley (Text)
2.     SAMEER Notes on Product Design, Thermal Design
3.     Product Design of Electronic Equipment, SAMEER
4.     SAMEER Notes on Ergonomics and Human Interface
5.     Pradeep Yammiyavar, CEDT Lecture Module series on control Panel, Ergonomics and Form design for electronic equipments
6.     Workshop on Product Design, Lozarou
7.     Workshop on Product design, Ayyaswamy Course Name       :               EMBEDDED SYSTEMS
Course Code        :               EC 528
Credits                  :               4
L T P                     :               4 0 0
Lecture wise breakup                                                                                                                             No of lectures
INTRODUCTION TO MICROCONTROLLERS                                                                                          (02)
Processor Architectures (Harvard & Princeton), RISC and CISC, Microcontrollers Features, Microcontroller Vs Microprocessor, Introduction to embedded system
8051 PROCESSOR ARCHITECTURE                                                                                                         (03)
CPU, Addressing Modes, 8051 Instruction Execution., External Addressing
INSTRUCTION SET                                                                                                                                          (03)
Data Movement Instructions, Arithmetic Instruction, Bit Operators, Execution Change Operators.
HARDWARE FEATURES                                                                                                                               (03)
Reset & System Clock/Oscillators, Timers and Interrupts, Serial I/O (Level Conversion), Program/Data Memory & EEPROM.
APPLICATION DESIGN                                                                                                                                  (02)
Power Input. & Reset., System Oscillators/Clocks, I/O Pin Interfacing, Interrupts, External RAM and ROM.
68HC11 PROCESSOR ARCHITECTURE                                                                                                   (03)
CPU register set, Addressing Modes, Instruction Execution
BASIC ASSEMBLY PROGRAMMING                                                                                                         (04)
Data Transfer, Using Stack, Arithmetic Programming, Logic operations, Branches and Jumps, Subroutines
PIC PROCESSOR ARCHITECTURE                                                                                                           (07)
Pic family, CPU register set, Programme memory organization, General purpose register file, Addressing Modes, Instruction set, Using Timers, Using Interrupts, I/O ports, Special featuresINTERFACING                                                                                                                                                  (13) Types of ADC, Terms related to ADC’s, Example of Interfacing ADC , Types of DAC, Terms related to DAC’s, Example of Interfacing DAC, Interfacing of LED, Interfacing of Switches, Interfacing of LCD, RS 232/422/423 link, I2C & SPI Interface, PC Parallel Interface.
BOOK :
1.     John Catsoulis, ”Designing Embedded Hardware “, O’Reilly.
REFERENCES:
  • Muhammad Ali Mazidi, and Janice Gillispie Mazidi.,”The 8051 Microcontroller and Embedded Systems”, Pearson Education.
  • Kennith J.Ayala,”The 8051 Microcontroller Architecture, Programming and Application”, PHI.
  • John B Peatman “Design with PIC Microcontrollers”, Pearson Education
  • Todd D. Morton “Embedded Microcontroller”, Pearson Education
Course Name       :               DESIGN OF EXPERIMENTS AND RESEARCH METHODOLOGY
Course Code        :               MA 505
Credits                  :               4             
L T P                     :               4 0 0      
Lecture wise breakup                                                                                                                                No. of Lectures
Basic principles of design of experiment,  Error analysis in experiments.                                                        (10)
Classification of experimental designs, Design and analysis of one factor experiments -Completely randomized and randomized complete block designs, Analysis of variance.                                                                                                                        (8)
Estimation of parameters,  Residual analysis and model checking, Sample size problem.                          (5)
Design with two blocking variables, Latin squares, Analysis of data from a Latin square.                          (2)
Experiment with two factors- Introduction, Main effects and interactions, Two-factor analysis of variance, Graphic analysis, Choice of sample size.                                                                                                                                                                  (6)
Design of Experiments with the help of orthogonal arrays, Taguchi’s Robust parameter design, Analysis, Noise factors, Tolerance on control factors.                                                                                                                                                             (5)
Research Methodology – Nature and objective of research, Research topic, Literature review, Formulation of problem, Research design, Sampling techniques, Data collection, Statistical and sensitive analysis of data, Interpretation of result and report writing.       (10)BOOKProbability and Statistics for Engineers and scientists, Walpole, Myers, Myers and Ye, 7th ed, 2002, Pearson Education.REFERENCESStatistics in Research, Bernand Ostle and Richard N.Mensing  3rd ed, 1975, Oxford & IBH Pub Co.
Probability and Statistics in Engineering, Hines, Montgomery, Goldsman and Borror, 4th ed, 2003, John Wiley & Sons.
Experimental design, Theory & application, Federer, 1955, Oxford & IBH pub Co.