Bioinformatics (4+1)
1. General information
Bioinformatics is relatively new inter-disciplinary scientific fields which apply modern algorithmic solutions from computer science on the data obtained from biological experiments. The vast amounts of biological data must be properly processed and stored in order to be effectively utilized. Through the models that will be built based on the knowledge of system biology we will be able to reach the unknown events that occur when the body is infected with a virus, and thus to identify the weaknesses of the virus and make a model for its destruction. The obtained results will be easily applied in pharmaceutical companies, biology, medicine, genetics and proteomics.
Graduate studies in bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analysis, indexing, retrieval and use of data from biological databases. The graduate students will be able to model the events and processes that occur at the cell level, organ or organism. They will also learn how to use the latest technologies from database, molecular biology, genetics and machine intelligence.
Awarded degree: Master in Electrical Engineering and Information Technologies, Study program „Bioinformatics“
2. List of courses in study program
Core courses:
- Semester 1
Basics of molecular biology
Algorithms in Bioinformatics
- Semester 2
- Advanced mathematical and statistical techniques
General education core courses:
- Semester 1
- Research methods and writing techniques
- Advanced project management
Elective courses:
- Semester 1
- Structural Bioinformatics
- Databases and advanced techniques for storing, organization and data processing
- Mathematical Biology
- Machine intelligence and learning
- Biological ontologies
- Proteomics
- Programming languages and software tools in bioinformatics
- Introduction to mathematical bio-sciences
- Semester 2
- Computational and mathematical models of neural systems
- Phylogenetics and comparative genetics
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- Advanced techniques for designing algorithms
- Numerical methods and wavelets
- Advanced technologies for manipulating and visualizing bio-science data
- Knowledge-based information systems