|Education level||Postgraduate / Master of Science|
|Course title||Computational Medical Research|
|Independent teaching activities||Hours per week||ECTS|
|Coursetype||General setting course, skills development|
|Teaching and assessment language||English|
Upon completion of the course, the student will be able to:
- Know the theoretical foundations of computing medical research and its application in practice
- To acquire the basic skills to engage in computing medical research
Upon completion of the course, graduate students will be familiar with the basic principles of using mathematical analogues in medical research)
The course participants upon completion will be able to:
- Write, compile and run a simple computer program in C.
- Perform basic data analysis in MATLAB
The use of computers in order to solve complex relationships arising from the mathematical description of biological systems is the subject of this course. Computing medical research provides an important tool for understanding the mechanisms of physiology and pathology in cases where the experimental approach is impractical. The growing interest in this field and the multidisciplinary dimension makes it a useful tool for every researcher.
Teaching and learning methods – evaluation
|Teaching methods||Face to face
|Use of information and |
communication technologies (ICT)
|Module structure||Work Hours per Semester||Activity|
|Exercises (Online discussion fora)||10|
|Exercises (Study relevant papers)||20|
|Essay background work||40|
|Overall work for the course||125|
- JL Semmlow. Biosignal and Biomedical Image Processing. 2004; Marcel Dekker Inc.
- BO Palsson. Systems Biology. Simulation of Dynamic Network States. 2011; Cambridge.
- P Wallisch et al. MATLAB for neuroscientists: an introduction to scientific computing in MATLAB. 2009; Elsevier.