IT2061 SYSTEM MODELING AND SIMULATION Syllabus - Anna University


IT2061                       SYSTEM MODELING AND SIMULATION                          L T P C
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UNIT I             INTRODUCTION TO SIMULATION                                                          9
Introduction  –  Simulation  Terminologies-  Application  areas  Model  Classification – Types of Simulation- Steps in a Simulation study- Concepts in Discrete Event Simulation
- Simulation Examples

UNIT II            MATHEMATICAL MODELS                                                                     9
Statistical Models - Concepts – Discrete Distribution- Continuous Distribution Poisson Process- Empirical Distributions- Queueing Models Characteristics- Notation Queueing Systems Markovian Models- Properties of random numbers- Generation of Pseudo Random numbers- Techniques for generating random numbers-Testing random number generators- Generating Random-Variates- Inverse Transform technique Acceptance- Rejection technique Composition & Convolution Method.

UNIT III           ANALYSIS OF SIMULATION DATA                                                      9
Input Modeling - Data collection - Assessing sample independence - Hypothesizing distribution family with data - Parameter Estimation - Goodness-of-fit tests - Selecting input models in absence of data- Output analysis for a Single system Terminating Simulations Steady state simulations.

UNIT IV           VERIFICATION AND VALIDATION                                                        9
Model  Building   Verification  of  Simulation  Models   Calibration  and  Validation  of
Models Validation of Model Assumptions Validating Input Output Transformations.

UNIT V          SIMULATION OF COMPUTER SYSTEMS AND CASE STUDIES             9
Simulation Tools Model Input High level computer system simulation CPU Memory Simulation – Comparison of systems via simulation Simulation Programming techniques - Development of Simulation models.

TOTAL: 45 PERIODS

TEXT BOOKS:
1.  Jerry Banks and John Carson, Discrete Event System Simulation, Fourth Edition, PHI, 2005.
2.  Geoffrey Gordon, System Simulation, Second Edition, PHI, 2006 (Unit V).

REFERENCES:
1.  Frank L. Severance, System Modeling and Simulation, Wiley, 2001.
2.  Averill  M.  Law  anW.David  Kelton,   Simulation  Modeling  and  Analysis,  Third
Edition, McGraw Hill, 2006.
3.  Jerr Banks,   “Handboo o Simulation Principles,   Methodology,   Advances,
Applications and Practice, Wiley, 1998.










By Vinoth
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