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SGN-6156 COMPUTATIONAL SYSTEMS BIOLOGY II, 5 cr
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Courses persons responsible
Olli Yli-Harja
Lecturers
Olli Yli-Harja
Lecturetimes and places
Per V: Tuesday 14 - 16, TB222
Per V: Wednesday 10 - 12, TB110
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | - | - | 4 h/week | - |
| Exercise | - | - | - | - | 2 h/week | - |
| Exam | ||||||
Objectives
Student is able to use computational and mathematical methods for data analysis and experiment design in systems biology.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Statistical methods for gene expression data analysis. | ||
| 2. | Design and analysis of microarray experiments. | ||
| 3. | Data classification and clustering |
Requirements for completing the course
Active participation in the exercises and final examination.
Evaluation criteria for the course
Prerequisites
| Code | Course | Credits | M/R |
| SGN-6106 | SGN-6106 Computational Systems Biology I | 5 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
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 | 31.01.2006 |
| Modified by | Antti Niemistö |