Lecture 1 - Introduction to Simulation

Lecture 2 - Concept of System, Model and Simulation

Lecture 3 - Time advance mechanism, Components of a simulation model

Lecture 4 - Program organization and logic, Steps in a simulation study

Lecture 5 - Simulation examples

Lecture 6 - Statistical Models in Simulation

Lecture 7 - Input probability distribution functions for discrete systems

Lecture 8 - Continuous distribution functions

Lecture 9 - Continuous distribution functions and empirical distribution functions

Lecture 10 - Problem solving on statistical models in simulation

Lecture 11 - Characteristics of a queueing system

Lecture 12 - Performance measures of queueing system

Lecture 13 - Analysis of a single server queueing system

Lecture 14 - Simulation of a single server queueing system

Lecture 15 - Computer representation of simulation of single server queuing system

Lecture 16 - Generation of Random Numbers

Lecture 17 - Issues and Challenges in Congruential Generators

Lecture 18 - Testing of random numbers

Lecture 19 - Generation of Random Variates

Lecture 20 - Problem Solving on Random Number and Random Variate Generation

Lecture 21 - Input modeling: Identifying distributions with data

Lecture 22 - Input modeling: Estimation of parameters

Lecture 23 - Input modeling: Goodness-of-fit tests and assessing sample dependence

Lecture 24 - Input modeling: Multivariate input models

Lecture 25 - Problem Solving on input modeling

Lecture 26 - Output analysis of a single system: Introduction

Lecture 27 - Obtaining a specified precision

Lecture 28 - Comparison of alternative system configurations

Lecture 29 - Confidence Intervals for comparing more than two systems

Lecture 30 - Problem Solving on output analysis of single and alternative systems

Lecture 31 - Introduction to simulation of manufacturing and material handling system

Lecture 32 - Issues in material handling system

Lecture 33 - Modeling of system randomness: Machine downtime

Lecture 34 - Verification of simulation models

Lecture 35 - Model validity and credibility

Lecture 36 - Problem solving and case studies on simulation of manufacturing system

Lecture 37 - Introduction to Monte Carlo Simulation

Lecture 38 - Inventory Control Simulation using Monte Carlo Technique

Lecture 39 - In this lecture, Monte Carlo technique was used to solve inventory system problems

Lecture 40 - Problem solving on Monte Carlo Simulation