Sunday, July 8, 2012

CS9046-SYSTEM MODELING AND SIMULATION-B.E -CSE-COMPUTER SCIENCE AND ENGINEERING SEVENTH-VII SEMESTER 2008 REGULATION ANNA UNIVERSITY SYLLABUS



CSE Computer Science And Engineering VII-Seventh Semester Syllabus 2008 Regulation Anna University


AIM:
The aim of this course is to study the system modeling and simulation techniques, which finds application in diverse fields.

OBJECTIVE:
§    The objective of this course is to introduce the fundamental principles and concepts in the general area of systems and simulation.  The purpose is to learn about the overview of computer simulation concepts, overview of modeling theory, review of probability distributions and queuing theory, random number generation probability distribution generation, data collection and input analysis, discrete modeling and simulation concepts, state based models, Markov models, model validation and verification and some simulation systems and languages.

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.



TEXT BOOKS:

TOTAL: 45 PERIODS

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  and  W.David  Kelton,  Simulation  Modeling  and  Analysis,  Third
Edition, McGraw Hill, 2006.
3.  Jerry   Banks,    “Handboo of   Simulation Principles,    Methodology,   Advances, Applications and Practice, Wiley, 1998.

7/08/2012 02:37:00 AM

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