1. Systems and Modelling: Systems, sub-systems, parameters, variables, measures of performance, and types of models.
2. Introduction to simulation: Qualitative and quantitative simulation
3. Introduction to sampling: Sampling from historical data, empirical distributions and statistical distributions
4. Applications of simulation: Study of inventory system, project network, replacement model, production and operations scheduling, supply chain, and queuing system; development of business games.
5. Design of simulation experiments: Analysis of transient and steady states, and run length; variance reduction techniques; use of statistical tests for output data analysis.
6. Use of simulation software.