Course Objectives:
 To introduce the details of modeling and simulation technologies to students.
 To provide the students with the knowledge of discrete and continuous systems, generation of random variables and analysis of simulation output and simulation languages.
Unit I: Introduction to Modeling and Simulation ————————– 4 hours

 System Concept
 System Environment
 Stochastic Activities
 Continuous & Discrete System
 System Modeling
 Types of Models
 Principles of Modeling
 Area of Application
 Verification & Validation model
Unit II: System Simulation —————————————————– 8 hours

 The technique of Simulation – Monte Carlo Method
 Problems Depicting Monte Carlo Method
 Comparison of simulation and analytical methods
 Experimental nature of simulation
 Types of system simulation
 Distributed Lag model
 Cobweb Models
 Steps of Simulation Study
 Time advancement mechanism
 Queuing Models and its characteristics
 Queuing Discipline
 Measures of queues
 Single server Queuing system
Unit III: Continuous System ————————————————— 8 hours

 Continuous System simulation and system dynamics
 Continuous system models
 Differential EquationsLinear Differential Equations
 Non Linear Differential Equations
 Partial Differential Equations
 Analog Computers
 Components of Analog Computer
 Analog Methods
 Hybrid Computers
 Digital Analog Simulator
 Continuous system simulation language
 CSMP III:
 Structure Statement
 Data Statement
 Control statements
 Hybrid Statement
 Feedback System
 Interactive system
 Real time simulation
 Predator pray model
Unit IV: Discrete System Simulation —————————————— 8 hours

 Discrete System Simulation
 Representation of Time
 Generation of Arrival patterns
 Simulation of Telephone System
 Gathering Statistics
 Counters & Summary Statistics
 Measuring Utilization & Occupancy
 Recording Distribution & Transit time
 Discrete Simulation Language
Unit V: Probability Concepts and Random Number Generation —— 5 hours

 Probability concepts in simulation Stochastic variable
 Discrete probability function
 Continuous probability function
 Random Numbers
 Properties of Random Numbers
 Pseudo Random Numbers
 Techniques for Generation of Random Numbers
 Test for random number generation:
 Uniformity Test (KS test and ChiSquare Test)
 Independence test (Run test and Auto Correlation test)
Unit VI: Simulation Language ———————————————— 6 hours

 Types of Simulation Language
 Discrete System Modeling & Simulation with GPSS
 GPSS program applications
 SIMSCRIPTOrganization of a SIMSCRIPT program
 SIMSCRIPT programs
Unit VII: Analysis of Simulation Output ———————————— 6 hours

 Nature of the Problem
 Estimation Method
 Simulation Run Statistics
 Replication of Run
 Elimination of Initial Bias
Laboratory:
Develop a simulation model, the topic could be either initiated by the student or selected from a list provided by the instructor. An oral presentation with a demonstration should be part of the laboratory project report.
Reference Book:

 J.A. Spriest and G.C Vansteenkiste, ComputerAided Modeling and Simulation, Academic Press.
 G.Gorden, System Simulation, Prentice Hall of India
 A.M Law and R.F. Perry, Simulation : A ProblemSolving approach, Addison Wesley Publishing Company
 A.M Law ans W.D.Kelton, Simulation Modeling and Analysis, McGraw Hill, 1991.