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Computational Systems Biology (e) |
Syventävät opinnot
Olli Yli-Harja
- 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.
| Tutkinto |
| Tietotekniikan koulutusohjelma - International Master's Degree in Information Technology - Diplomi-insinöörin tutkinto |
The following courses are also recommended as prerequisites: KIE-3426 Thesis Writing in English, 4 cr and KIE-3376 Technical Writing in English, 3 cr.
| Opintokokonaisuus | Opintopisteet |
| Information Technology | 25 op |
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.
| Opintojakso | Opintopisteet | Vaihtoehtoisuus |
| MAT-41280 Tilastolliset monimuuttujamenetelmät | 5 op | |
| SGN-1656 Signal Processing Laboratory | 5 op | |
| SGN-6056 Introduction to Computational Systems Biology | 3 op | 1 |
| SGN-6106 Computational Systems Biology I | 5 op | |
| SGN-6156 Computational Systems Biology II | 5 op | |
| Yhteensä | 23 op |
1. or equivalent knowledge
The minimum number of 30 credits for the advanced study module shall be completed with studies selected freely from the list below. Please notice that some of the listed courses are not given in the international programme, as they are common with the Finnish curriculum. Special arrangements to pass these courses can be requested from the responsible teachers.
Listasta täydennetään opintokokonaisuuden laajuuteen
| Opintojakso | Opintopisteet |
| BIO-1200 Biokemia I | 3 op |
| LTT-1016 Human Anatomy and Physiology | 6 op |
| MAT-41120 Matemaattinen optimointiteoria 1 | 5 op |
| MAT-45050 Matemaattisen mallinnuksen peruskurssi | 5 op |
| MAT-51260 Stokastiset prosessit | 5 op |
| MAT-51640 Tilastollinen kokeiden suunnittelu | 4 op |
| SGN-1986 Signal Processing Thesis Seminar | 1 op |
| SGN-2556 Pattern Recognition | 5 op |
| SGN-2606 Statistical Signal Processing | 5 op |
| SGN-3056 Digital Image Processing II | 5 op |
| SGN-6206 Genomic Signal Processing | 5 op |
| SGN-6456 Computational Models in Complex Systems | 4 op |
| Yhteensä | 53 op |
The student can complete only one of the three advanced study modules in Signal Processing.
| Viimeksi muokattu | 21.09.2006 |
| Muokkaaja | Antti Niemistö |