Bioinformatics and Biocomputing

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 Follow-Up Master Degree Programme acquire deeper knowledge in a chosen branch of study and will give him knowledge and skills base to analyse, design and verification of problems solved in research and scientific as well as in the practice This guarantee that the alumni will be successful creative worker in the appropriate information technology branch.

An alumnus of the master degree programme is ready to solve problems of information technology in praxis with utilization of contemporary scientific knowledge independently. The alumnus is able to act as an independent creative worker in the appropriate information technology branch, namely information systems and their security and safety, intelligent systems, computer systems, networks and communications, computer graphics and multimedia or a leader of a team composed of workers of various branches of IT.

The State Final Examination has two parts: A defense of the Master Thesis, and a discussion based on selected topics from the topic "Bioinformatics and biocomputing which is derived from compulsory courses of the MBI Branch of Study as Bioinformatics, Bio-inspired Computers, Game Theory, Advanced Bioinformatics, Knowledge Discovery in Databases,  Biometrics Systems, Soft Computing, Mathematical Structures in Computer Science, Theoretical Computer Science, Hardware/Software Codesign, Molecular Genetics, Advanced Database Systems and Parallel and Distributed Algorithms. The areas of possible questions must be approved by the Study Branch Council, and students will be informed about the selected topics at least 2 months before the state final examination is held in the particular academic year.

• Protein structures prediction
• Microchip data analysis for gene expression detection
• Molecular structures visualization
• Hardware accelerated search in biological databases
• Evolutionary classifier design for biological data
• Hardware acceleration of evolutionary design
• Symbolic regression for biological data analysis
• System modelling using cellular automaton

Master's theses are stored at the FIT library, Božetěchova 2, Brno. The list of the master's theses, including the details is available at:
https://www.fit.vut.cz/study/theses/