B.E. Computer Science & Engineering:Simulation and Modeling

Thapar University
In Patiala

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Important information

Typology Bachelor
Start Patiala
Duration 4 Years
  • Bachelor
  • Patiala
  • Duration:
    4 Years
Description

Important information
Venues

Where and when

Starts Location
On request
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
See map
Starts On request
Location
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
See map

Course programme

First Year: Semester I

Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skill

First Year: Semester-II

Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior

Second Year- Semester - I

Measurement Science and Techniques
Optimization Techniques
Semiconductor Devices
Data Structures
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
Operating Systems
Environmental Studies


Third Year- Semester – I

Object Oriented Programming
Theory of Computation
Computer Networks
Data Base Management Systems
Software Engineering
Microprocessors
Summer Training

Third Year- Semester – II

Total Quality Management
Algorithm Analysis and Design
Software Project Management
Internet and Web Technologies

Fourth Year- Semester – I

Engineering Economics
System Software
Compiler Construction
Computer Graphics
Artificial Intelligence

Fourth Year- Semester – II

Project Semester
Project
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. .

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