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SGN-6106 Computational Systems Biology, 5 cr |
Olli Yli-Harja
No implementations
Participation in the exercises, an essay, lecture diary / final examination.
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The course provides the basic knowledge of computational methods used in systems biology.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Different types of models in systems biology. | ||
2. | Mathematical and computational methods in systems biology. | ||
3. | Possibilities of signal processing in systems biology. | ||
4. | Effects of measurement systems in data acquisition. |
Points obtained from the requirements (exercises 20%, essay 40%, lecture diary / examination 40%).
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
- | Lyhyt MATLAB-opas | Suomi | |||||
Other online content | MATLAB Primer | English | |||||
Other online content | MATLAB: Getting started | If you have no previous MATLAB experience, it would be useful to read the first parts of one of these MATLAB introductions. | English |
Course | Mandatory/Advisable | Description |
SGN-1107 Introductory Signal Processing | Advisable | |
SGN-1200 Signal Processing Methods | Advisable | |
SGN-6056 Introduction to Computational Systems Biology | Mandatory |
Additional information about prerequisites
SGN-6056 Introduction to Computational Systems Biology can be replaced with equivalent knowledge (eg. courses BIO-1200 Biochemistry 1 and BIO-1250 Microbiology 1).
There is no equivalence with any other courses