Informatics

The Informatics programme at Kaunas University of Technology is a joint doctoral Joint doctoral studies with Vytautas Magnus University and Vilnius Gediminas Technical University (coordinating institution: Kaunas University of Technology). 

Doctoral studies in Informatics Informatics are for those aiming to research the fields of data analysis, signal and image analysis, merger simulation, computer intelligence, development and research of physical behaviour and general dynamic models, cryptography algorithms, system formalisation and transformation of high level specifications.

Key facts

• Informatics is the field of science based on Computer Science and Computational Science. The research is carried out using mathematical models of analysed object or system, creating corresponding simulation algorithms and obtaining the results important for science and practice. 
• Doctoral students investigate the research fields of data analysis, signal and image analysis, simulation modelling, computational intelligence, physically-based behavior, development and analysis of general dynamic models, cryptography algorithms, systems formalization and high-level transformation of specifications, etc. 
• The aim of the Informatics programme at Kaunas University of Technology Kaunas University of Technology is to educate scientists capable to develop and creatively apply the methods of information technology for creation and analysis of the mathematical models of real world objects and systems aiming to find solutions to important scientific and practical problems.

Right to doctoral studies acquired in cooperation with Vytautas Magnus University. Right to doctoral studies approved by the order No. V-1009 of the Minister of Education and Science of the Republic of Lithuania of 8 June 2011. Right to doctoral studies is awarded to Vilnius Gediminas Technical University by the order No. V-574 of the Minister of Education and Science of the Republic of Lithuania of 17 July 2017.

Courses include:

• Architectures of Neural Networks

• Heuristic Algorithms

• Data Analysis and Visualization Methods

• Language Technologies and Information Retrieval

• Mathematical Models in Informatics

• Parallel and Distributed Calculations: Algorithms and Their Complexity Analysis