Bayesian Methods for Machine Learning The subject is focused on the practical use of basic Bayesian modelling methods in the

Theory of Automatic Control The course introduces the design, realization, and implementation of digital controllers in industrial practice. It focuses

Statistics The course introduces elements of mathematical statistics. Topics: descriptive statistics, elements of probability theory, discontinuous and continuous random quantities,

Dynamical Systems The course introduces the fundamentals of general systems theory with a focus on linear time-invariant systems, both continuous

Artificial Intelligence The course introduces the history of artificial intelligence (AI), the basic principles and algorithms of AI, and their

Introduction to Principles of Computers The goal of the subject is to acquaint students with the architecture of current software

Discrete structures The course introduces the basics of set theory, formal logic, and graph theory and their applications in various

Dynamic Decision Making 2 This course is designed to provide a basic understanding of dynamic decision making (DM) under uncertainty

Dynamic Decision Making under Uncertainty 1 This course will introduce the basic ideas underlying modelling dynamic decision problems and the