|
|
|||||||||||||||||
Opinto-opas 2012-2013
Computational Systems Biology, 25 cr |
Type of the study block
Int. MSc Minor Studies
Contact
Juha Kesseli, Olli Yli-Harja
Learning outcomes
| - | Systems biology requires joint work with experts from different fields - molecular and cell biology, biomedical sciences, mathematics, statistics, signal and image processing, and computer science - to study complex biological phenomena. Due to the increased number of large scale biological and biomedical measurements, mathematical models are increasingly used in order to interpret the experimental data. Computational systems biology provides mathematical and computational tools for analysis and modeling of the structure and function of biological systems. Mastering of signal processing methods and analysis of dynamic systems provides an excellent basis for entering the expanding field of modern systems biology. The computational systems biology module gives the theoretical basis and practical skills for design and implementation of the required computational tools as well as successful inter-disciplinary collaboration. |
| - | After the module, student can: |
| - | - Define what is computational systems biology |
| - | - Compare and select proper methods for specific problem within the area of computational systems biology |
| - | - Report the newest studies of computational systems biology |
| - | - Interpret scientific text of the research area |
Content
Compulsory courses
SGN-6058 is compulsory if no biology studies are included in the student's bachelor studies. SGN-6058 can also be replaced with the courses BIOI2210 Introduction to molecular biology, BIOI2230 Introduction to genetics, BIOI2220 Introduction to biochemistry provided by the international bioinformatics programme of University of Tampere. For the BIOI-courses student needs to apply the JOO-rights.
| Course | Credit points | Class |
| SGN-6058 Introduction to Biology of the Cell | 3 cr | IV |
| SGN-6106 Computational Systems Biology | 5 cr | IV |
| Total | 8 cr |
Alternative Studies
In addition to the compulsory courses, 10 credits must be taken from of the optional courses.
Must be selected at least 10 credits of courses
Supplemental courses
The minimum number of 25 credits for the advanced study module shall be completed with studies selected freely from the list below. Also the optional courses can be used as complementary courses. In addition, the courses provided by the international bioinformatics programme of University of Tampere can be taken as complementary courses. These courses include BIOI2080 Introduction to bioinformatics, BIOI4240 Structural bioinformatics, BIOI4210 Bioinformatics in functional genomics, BIOI4230 Phylogenetics, and BIOI4280 Algorithms in bioinformatics. For the BIOI-courses student needs to apply the JOO-rights.
Please select courses from the list to complete the study block`s requirement (25)
| Course | Credit points | Class |
| SGN-1158 Introduction to Signal Processing, short version | 3 cr | IV |
| SGN-1159 Introduction to Signal Processing, long version | 5 cr | IV |
| SGN-2607 Statistical Signal Processing | 6 cr | V |
| SGN-3016 Digital Image Processing I | 5 cr | IV |
| SGN-3057 Digital Image Processing II | 6 cr | IV |