1) Introduction to graph theory, basic concepts.
2) Eulerian trail, minimal spanning trees, Hamiltonian paths.
3) Distances in graphs - Floyd's algorithm.
4) Project management - Critical path method.
5) Planning the service of traffic network from one center - Little's algorithm.
6) Localization of emergency centers - Hakimi algorithm.
7) Introduction to linear programming - transport problem.
8) Mathematical model of a transport problem.
9) Algorithm for solving a transport problem.
10) Basic knowledge of probability theory.
11) Introduction to queueing theory, M/M/n/n queueing system.
12) M/M/n/∞ queueing system.
13) M/M/n/m queueing system.
14) Reserve.
2) Eulerian trail, minimal spanning trees, Hamiltonian paths.
3) Distances in graphs - Floyd's algorithm.
4) Project management - Critical path method.
5) Planning the service of traffic network from one center - Little's algorithm.
6) Localization of emergency centers - Hakimi algorithm.
7) Introduction to linear programming - transport problem.
8) Mathematical model of a transport problem.
9) Algorithm for solving a transport problem.
10) Basic knowledge of probability theory.
11) Introduction to queueing theory, M/M/n/n queueing system.
12) M/M/n/∞ queueing system.
13) M/M/n/m queueing system.
14) Reserve.