1. Static optimization - analytical and numerical methods for univariate and multivariate optimization.
2. Using linear programming to optimize control technology and manufacturing processes.
3. Dynamic optimization - dynamic programming, principle Pontrjagin minimum and variational calculus in problems of optimal control.
4. Advanced methods for optimal adjustment of controlers.
5. Modeling, simulation and optimization of selected logistics management issues.
6. Optimization using genetic and evolutionary algorithms.
7. Possibilities of using neural networks in the optimization of technological processes.
8. Creation and application of optimization algorithms.
2. Using linear programming to optimize control technology and manufacturing processes.
3. Dynamic optimization - dynamic programming, principle Pontrjagin minimum and variational calculus in problems of optimal control.
4. Advanced methods for optimal adjustment of controlers.
5. Modeling, simulation and optimization of selected logistics management issues.
6. Optimization using genetic and evolutionary algorithms.
7. Possibilities of using neural networks in the optimization of technological processes.
8. Creation and application of optimization algorithms.