Course Catalog 2009-2010 |
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Computational Systems Biology, 30 cr |
Major Studies
Harri Lähdesmäki, Olli Yli-Harja, Reija Autio
- 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.
| Study block | Credit points | Mandatory/Advisable |
| Information Technology | 25 cr | Mandatory |
Students writing their Master's thesis in Computational Systems Biology must complete the courses SGN-1986 Signal Processing Thesis Seminar, 1 cr and SGN-1996 Signal Processing Thesis Seminar Presentation, 0 cr.
| Course | Credit points |
| SGN-1656 Signal Processing Laboratory | 5 cr |
| SGN-1986 Signal Processing Thesis Seminar | 1 cr |
| SGN-1996 Signal Processing Thesis Seminar Presentation | 0 cr |
| SGN-6057 Introduction to Cell and Molecular Biology | 3 cr |
| SGN-6106 Computational Systems Biology | 5 cr |
| Total | 14 cr |
In addition to the compulsory courses, 5 credits must be taken from of the optional courses.
Must be selected at least 5 points of courses
| Course | Credit points |
| SGN-6166 Introduction to R programming | 3 cr |
| SGN-6176 Microarray Data Analysis | 5 cr |
| SGN-6186 Mathematical Modeling of Cellular Systems | 5 cr |
| SGN-6236 Modeling Techniques for Stochastic Gene Regulatory Networks | 3 cr |
| Total | 16 cr |
The minimum number of 30 credits for the advanced study module shall be completed with studies selected freely from the list below.
Please select courses from the list to complete the study block`s requirement (30)
| Course | Credit points |
| MAT-51646 Design of Experiments | 4 cr |
| SGN-2556 Pattern Recognition | 5 cr |
| SGN-2606 Statistical Signal Processing | 5 cr |
| SGN-3057 Digital Image Processing II | 6 cr |
| SGN-6206 Genomic Signal Processing | 5 cr |
| SGN-6457 Computational Models in Complex Systems | 5 cr |
| Total | 30 cr |
The student can complete only one of the three advanced study modules in Signal Processing (Computational Systems Biology, Multimedia or Signal Processing).