The master aims at training mostly computer science graduates in order to enrich their knowledge in the area of optimization.

This master program targets the graduates of the Faculty of Computer Science, as well as graduates of other specialties such as Automatic Control and Computers, Mathematics, Physics, Economic Informatics.

The computational optimization is a domain which has been introduced in the 40’s and which provides techniques for the modelling and solving of a wide range of problems from the real world. It comprises sub-domains such as linear programming, integer programming, convex programming, stochastic optimization, combinatorial optimization. Due to its practical application, the field has developed very much, both under its practical and theoretical aspects.

Difficult and large size problems from industry, engineering, economy, optimal control, transport, communication, medicine and biology can be modelled as optimization problems and can be solved using specific techniques. In order to solve optimization problems, both deterministic and stochastic methods have been created. This thing determines a connection between the area of computational optimization and the area of Artificial Intelligence.

Study Plan 2022-2023 – Computational Optimization (year 2, last series)

Study Plan 2022-2023 – Artificial Intelligence and Optimization (year 1)