The master in Computational Optimization 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, Phisics, Economic Informatics.

The computational optimization is a domain which has been introduced in the 40’s and which provides technics for the modelling and solving of a wide range of problems from the real world. It comprises sub-domains such as liniar 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 technics. 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 Artifical Intelligence.

Study Plan 2018/2020

General fundamental disciplines, specialized and complementary fundamental disciplines will be chosen from the following packages:

General fundamental disciplines – semester I

Fundamental disciplines for computational optimization – semester I

Fundamental disciplines for computational optimization – semester II

  • Combinatorial Optimization, Syllabus
  • Nature Inspired Methods
  • Advanced Topics of Machine Learning, Syllabus
  • Data Mining
  • Big Data Analytics, Syllabus
  • Concurrent and distributed programming, Syllabus
  • Human-Computer Interaction, Website

Complementary specialized disciplines – semester II

  • Pragmatic Aspects in Engineering of Cloud Systems
  • Human-Computer Interaction, Website
  • Project Management
  • Event-based Systems, Syllabus
  • Software Quality, Syllabus
  • Concurrent and distributed programming, Syllabus