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SGN-6106 COMPUTATIONAL SYSTEMS BIOLOGY I, 5 cr
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Courses persons responsible
Olli Yli-Harja
Lecturers
Olli Yli-Harja
Lecturetimes and places
Per IV: Tuesday 14 - 16, TB222
Per IV: Wednesday 10 - 12, TB216
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | - | 4 h/week | - | - |
| Exercise | - | - | - | 2 h/week | - | - |
| Exam | ||||||
Objectives
The course provides the basic knowledge of computational methods used in systems biology.
Content
| 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 aquisition. |
Requirements for completing the course
Participation in the exercises and final examination.
Evaluation criteria for the course
Prerequisites
| Code | Course | Credits | M/R |
| SGN-1107 | SGN-1107 Introductory Signal Processing | 4 | Recommendable |
| SGN-1200 | SGN-1200 Signal Processing Methods | 4 | Recommendable |
| SGN-6056 | SGN-6056 Introduction to Computational Systems Biology | 3 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
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).
Remarks
Study materials will be announced later
Distance learning
- Contact teaching: 35 %
- Distance learning: 0 %
- Proportion of a student's independent study: 65 %
Scaling
| Methods of instruction | Hours |
| Lectures | 72 |
| Exercises | 36 |
| Other scaled | Hours |
| Preparation for exam | 20 |
| Exam/midterm exam | 3 |
| Total sum | 131 |
| Last modified | 20.02.2007 |
| Modified by | Virve Larmila |