Type of studies | Title |
---|---|
Master Academic Studies | Biomedical Engineering (Year: 1, Semester: Winter) |
Category | Professional-applicative |
Scientific or art field | Automatic Control and System Engineering |
ECTS | 6 |
Acquisition of theoretical and practical fundamentals of computational methods that can infer biological information from genomic data, the strengths and weaknesses of related methods, and the important parameters embedded in these analyses.
Students should be able to understand the principles of algorithm design for biological datasets, to analyze problems, and use described methods in order to locate genes, repeat families, similarities between sequences of different organisms and several other applications.
Sequence Alignments. Hidden Markov Models. Multiple Alignment Algorithms. Gene Expression Analysis. Population Genomics. Molecular Evolution. Comparative Genomics.
Lectures, numerical calculation practice, computer practice, consultations
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
1998 | English | |||
2004 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Oral part of the exam | No | Yes | 30.00 |
Project | Yes | Yes | 70.00 |
Full Professor
Assistant Professor
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© 2024. Faculty of Technical Sciences.