Specialization Details
Bioinformatics and Biocomputing
Abbreviation: NBIO
Length of Study: 2 years
Min. Credits: 120
Degree Programme: Information Technology and Artificial Intelligence
Language of Instruction: Czech
Form of Study: full-time
Accredited from: 2019 Accredited till: 2029
Students will understand all the layers of the computer based systems including hardware (semiconductor components, logic networks, processors, peripheral devices), software (control and data structures, object orientation, programming languages, compilers, operating systems, databases), as well as their common applications (information systems, computer networks, artificial intelligence, computer graphics and multimedia). They will understand foundations of computer science (discrete mathematics, formal languages and their models, spectral analysis of signals, modelling and simulation). Graduates will be able to analyse, design, implement, test, and maintain common computer applications. They will be able to work efficiently in teams.
The State Exam in Information Technology and Artificial Intelligence, specializing in Bioinformatics and Biocomputing, consists of the following parts:
- presentation and defense of master's thesis,
- oral exam, which combines the basic themes contained in the courses profiling the basis of Information Technology and Artificial Intelligence (Theoretical Computer Science, Statistics and Probability, Computer Systems Architectures, Artificial Intelligence and Machine Learning, Data Storage and Preparation, Functional and Logic Programming, Parallel and Distributed Algorithms, Modern Trends in Informatics),
- oral exam, which combines the basic themes contained in the courses profiling the fundamentals of Bioinformatics and Biocomputing (Molecular Genetics, Bioninformatics, Advanced Bioinformatics, Biology Inspired Computing, Knowledge Discovery in Databases, Convolutionary Neural Networks, Practical Parallel Programming).
All parts of the state examination are held on the same date before the State Examination Board. The state exam can be taken by a student who has obtained the required number of credits in the prescribed composition necessary for the successful completion of the master's degree and has submitted the master's thesis in due time. The organization and course of the state examination are given by the corresponding internal standard of the faculty and by the relevant instructions of the program guarantor for state examinations.
- Reconstruction of repetitive DNA elements
- Geometric semantic genetic programming
- Principles and applications of neuroevolution
- Search for enzymes in metagenomic data
- Bioinformatic tool for annotation of transposons
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/.en
Choose academic year and curriculum
Go to recommended course compositions
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
AVS | Computation Systems Architectures | 5 | C | Cr+Ex | FIT |
BC_MOG1 | Molecular Genetics I | 4 | C | Ex | FCH |
MSP | Statistics and Probability | 6 | C | Cr+Ex | FIT |
SUI | Artificial Intelligence and Machine Learning | 5 | C | Ex | FIT |
TIN | Theoretical Computer Science | 7 | C | Cr+Ex | FIT |
UPA | Data Storage and Preparation | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
BIF | Bioinformatics | 5 | C | Ex | FIT |
FLP | Functional and Logic Programming | 5 | C | Cr+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 | Semester Project | 5 | C | ClCr | FIT |
PP2 | Project Practice 2 | 5 | E | ClCr | 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
Recommended course compositions
Recommended course composition NBIO1
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Molecular Genetics I
- Statistics and Probability
- Theoretical Computer Science
1st year of study, summer semester
- Bio-Inspired Computers
- Bioinformatics
- Convolutional Neural Networks
- Functional and Logic Programming
- Parallel and Distributed Algorithms
- Machine Learning and Recognition
2nd year of study, winter semester
- Advanced Bioinformatics
- Knowledge Discovery in Databases
- Semester Project
- Brain Computer Interface
- Game Theory
- Graph Algorithms