1. Acquainting with problems and content of subject. Probability theory, conditional probability, relations among independent events.
2. Probability of hypothesis.
3. Continuous random variables, characteristics, distributions.
4. Discrete random variables, characteristics, distributions.
5. Transformation of random variables and their generation.
6. Use of graph theory and random variables in engineering.
7. Graph theory, basic concepts and principles.
8. Minimal and maximal paths in graph, algorithms of solution.
9. CPM and method PERT, algorithms of solution.
10. Hamilton' path and Euler's circle.
11. Capacity of transport net, algorithms of solution.
12. Waiting line models. System M/M/1.
13. System M/M/n.
14. Using waiting line models in practice.
2. Probability of hypothesis.
3. Continuous random variables, characteristics, distributions.
4. Discrete random variables, characteristics, distributions.
5. Transformation of random variables and their generation.
6. Use of graph theory and random variables in engineering.
7. Graph theory, basic concepts and principles.
8. Minimal and maximal paths in graph, algorithms of solution.
9. CPM and method PERT, algorithms of solution.
10. Hamilton' path and Euler's circle.
11. Capacity of transport net, algorithms of solution.
12. Waiting line models. System M/M/1.
13. System M/M/n.
14. Using waiting line models in practice.