IT2061 Systems Modeling and Simulation Syllabus

UNIT I INTRODUCTION TO SIMULATION

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

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

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

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

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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