Cílem předmětu Technické výpočty a simulace je seznámit studenta s možností výpočetního řešení úloh aplikované mechaniky a základy optimalizace.

Předmět shrnuje nejdůležitější pojmy a věty spojené se studiem vektorových prostorů.

The course summarizes the most important concepts and sentences associated with the study of vector spaces.

This course is designed to provide a basic understanding of dynamic decision making (DM) under uncertainty and related tools. It is expected that students will learn how to formulate DM problem and to solve it using the technique described. The course also introduces a basic of Fully Probabilistic Design (FPD), which is a non-trivial extension of Bayesian DM.  The course offers a unified view on stochastic filtration and dynamic programming, as well as a conceptually feasible construction of respective probabilistic description, and elements of multiple-participant DM.

The course introduces students into the basics of set theory, mathematical logic, graph theory and theory of algorithms.

The course introduces students into the basics of propositional and predicate logic, set theory and graph theory.