B.E. Computer Science & Engineering:Simulation and ModelingThapar University
Price on request
First Year: Semester I
First Year: Semester-II
Electrical and Electronic Science
Second Year- Semester - I
Measurement Science and Techniques
Discrete Mathematical Structures
Digital Electronic Circuits
Human Values, Ethics and IPR
Second Year- Semester – II
Numerical and Statistical Methods
Electrical Engineering Materials
Computer System Architecture
Principles of Programming Languages
Analysis and Design of Information Systems
Third Year- Semester – I
Object Oriented Programming
Theory of Computation
Data Base Management Systems
Third Year- Semester – II
Total Quality Management
Algorithm Analysis and Design
Software Project Management
Internet and Web Technologies
Fourth Year- Semester – I
Fourth Year- Semester – II
Industrial Training(6 weeks)
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. .