1. Theoretical background of discrete simulation.

• Basic approaches to discrete simulation.
• Chosen problems solved using simulation methods.
• Using of probability theory and mathematical statistics at simulation.

2. Software tools for simulation.

• The historical development.
• Means of simulation languages.
• Simulation systems examples).

3. Simulation system Witness.

• The basic characteristic and nature of models creation.
• Description of the model elements and control logic.
• Model documentation and analysing of experiment results.
• Simulation-based optimization.

4. Simulation study.

• Stages of simulation study.
• Procedures for experimenting with simulation models.