Students will get acquainted with the advanced algorithms for processing, analysis and presentation of biological data, in particular genomic and proteomic data. In addition to the use of the standard algorithms, students will be able to develop new algorithms in this area. Students will become familiar with the concepts of molecular genetics and with standard biological databases. Students will be able to communicate with biologists and work in multidisciplinary teams. The knowledge acquired by studying the biological systems will be used for understanding bio-inspired computing systems. Students will get acquainted with the principles of natural computing, in particular, with evolutionary design, evolvable systems, DNA computing, fuzzy computing, neural computing and unconventional computing. Students will be able to integrate the bio-inspired principles into existing systems in order to improve their efficiency.

Student of the branch acquire deeper knowledge in the bioinformatics and natural computing. This give him knowledge and skills base to analyse, design and verification of problems of biological databases as well as use, design, implement and accelerate algorithms for analysis of the biological data. He/she is able to apply natural computing algorithms (evolutionary algorithms, artificial neural networks, fuzzy systems etc.) in the complex design and optimization problems.

prof. Ing. Lukáš Sekanina, Ph.D.