Course Catalog 2009-2010 |
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SGN-6106 Computational Systems Biology, 5 cr |
Olli Yli-Harja
| Lecture times and places | Target group recommended to | |
| Implementation 1 |
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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 Signaalinkäsittelyn menetelmät | 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
| Description | Methods of instruction | Implementation | |
| Implementation 1 | Lectures Excercises Study journal, portfolio and other literary work |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |