Field of Study Details
Bioinformatics and biocomputing
Abbreviation: MBI
Acad. year: 2017/2018
Length of Study: 2 years
Min. Credits: 120
Degree Programme: Information Technology
Language of Instruction: Czech
Form of Study: full-time
Accredited from: 2014 Accredited till: 2022 Last admissions: 2019
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 Study Program 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.
The State Final Examination has two parts: A defense of the Master Thesis, and a discussion based on selected topics from the course "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.
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/
Choose academic year and curriculum
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
BIO | Biometric Systems | 5 | C | Cr+Ex | FIT |
MAT | Mathematical Structures in Computer Science | 5 | C | Ex | FIT |
PDB | Advanced Database Systems | 5 | C | Cr+Ex | FIT |
TIN | Theoretical Computer Science | 5 | C | Cr+Ex | FIT |
STI | Theoretical Computer Science Seminar | 2 | E | Cr | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
BIF | Bioinformatics | 5 | C | Ex | FIT |
BIN | Bio-Inspired Computers | 5 | C | Ex | FIT |
PRL | Parallel and Distributed Algorithms | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
PBI | Advanced Bioinformatics | 4 | C | Ex | FIT |
SEP | Term Project | 5 | C | ClCr | FIT |
SFC | Soft Computing | 5 | C | Cr+Ex | FIT |
THE | Game Theory | 4 | C | Cr+Ex | FIT |
ZZN | Knowledge Discovery in Databases | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
DIP | Master's Thesis | 13 | C | Cr | FIT |
Duty: C - compulsory, CEx - compulsory-elective group x, R - recommended, E - elective