Computational Systems Biology, 30 cr
Type of the study block
Juha Kesseli, Olli Yli-Harja
|-||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 and which are the sub areas of it|
|-||- Report the newest studies of computational systems biology|
|-||- Compare and select proper methods for specific problem within the area of computational systems biology|
|-||- Develop computational methods for systems biology problems|
|-||- Interpret and write scientific text of the research area.|
|Study block||Credit points||Mandatory/Advisable|
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. TST-1306 and TST-1406 are compulsory if the student is writing his/her Master's thesis on Computational Systems Biology.
|SGN-1706 Signal Processing Project||5-8 cr||V|
|SGN-6058 Introduction to Biology of the Cell||3 cr||IV|
|SGN-6106 Computational Systems Biology||5 cr||IV|
|TST-1406 Master's Thesis Seminar Presentation||0 cr||V|
In addition to the compulsory courses, 10 credits must be taken from of the optional courses.
Must be selected at least 10 points of courses
The minimum number of 30 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 (30)
|SGN-1850 Special Topics in Signal Processing||1-5 cr||V|
|SGN-2607 Statistical Signal Processing||6 cr||V|
|SGN-3057 Digital Image Processing II||6 cr||IV|
|TKT-9617 Scientific Publishing||6 cr||V|
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.