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

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**:**

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

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**B**

**JE**

**C**

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**I**

**V**

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**:**

§ 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.

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**T 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

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**T 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.

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**T 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.

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**T IV VERIFICATION AND VALIDATION 9**

Model Building – Verification of
Simulation
Models – Calibration and Validation
of

Models – Validation of Model Assumptions – Validating Input – Output Transformations.

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**T 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.

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**T BOOKS:**

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**L: 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).

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**FERENCES**

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, “Handbook of Simulation: Principles, Methodology, Advances,
Applications and Practice”, Wiley, 1998.

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