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
