B.E. Electronics & Comm. Engg:Simulation and ModelingThapar University
Price on request
First Year: Semester I
First year: Semester II
Electrical and Electronic Science
Second year: Semester I
Numerical and Statistical Methods
Measurement Science and Techniques
Signals and Systems
Digital Electronic Circuits
Human Values, Ethics and IPR
Second year: Semester II
Analog Electronic Circuits
Networks and Transmission Lines
Electrical Engineering Materials
Analog Communication Systems
Data Structure and Information Technology
Third year: Semester I
Digital Signal Processing for Communications
VLSI Circuit Design
Digital Communication Systems
Linear Integrated Circuits and Applications
Summer Training(6 weeks)
Third year: Semester II
Industrial Training(6 weeks)
Fourth year: Semester I
Antenna and Wave Propagation
Modern Control Engineering
Wireless and Mobile Communication Systems
Fourth year: Semester II
Optical Communication Systems
Advanced Communication Systems
HDL Based Digital Design
Total Quality Management
Simulation and Modeling
Introduction: Objectives of Modeling, System Theory and State Variables.
Type of Models: Analytic, Simulation, Measurement, Analytic Modeling, Probability Theory, Random Variables, Poisson Process, Markov Chains.
Queuing Theory: Little�s Law, M/M/1, M/M/1/k, M/M/C Queuing Models, M/G/1 [Impact Variation in Service Times].
Petrinets: Stochastic Petrinets [ SPN ] , GSPN .
Simulation Modeling: Continuous & discrete Event Simulation, Monte Carlo Simulation, Pseudo Random Number Generation, Non-Uniform Random Variable Generation, Simulation Language Features : Simpack, GPSS, GASP IV, CSIM, Estimation of Simulation Outputs/Output Matrix, Confidence Intervals, Regenerative Simulation, Method of Batch Means.
Case Studies: Analytic vs. Simulation Models, Application to Operating Systems, Data Bases, Networks Architecture.
Laboratory work: Write programs to generate random numbers using seed method, to test randomness of two numbers generated using frequency test, uniformity test, to implement queue using M/M/1 and M/M/1/K models, to implement bomber fighter problem, to implement inventory control system keeping storage cost, lost business etc in mind, to implement a chemical reactor problem, to implement various features of various simulation languages such as GPSS, GASP, CSIM. .