Course details

FacultyHealth Sciences
Education levelPostgraduate / Master of Science
Course codeE3Semester2
Course titleComputational Medical Research
Independent teaching activitiesHours per weekECTS
CoursetypeGeneral setting course, skills development
Prerequisite coursesNone
Teaching and assessment languageEnglish

Learning outcomes


Upon completion of the course, the student will be able to:

  1. Know the theoretical foundations of computing medical research and its application in practice
  2. 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

Course contents

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 methodsFace to face
Distance learning
Use of information and
communication technologies (ICT)

  • Use of ICT in Teaching- Moodle Virtual learning environment (VLE)
    (asynchronous learning, wikis, Online Discussion Fora, Educational Portfolio, assignment submission, assessment process)

  • Use of ICT in Communication with students
    (email, instant messaging via Moodle)

Module structureWork Hours per SemesterActivity
Lectures 30
Exercises (Quiz) 5
Exercises (Wikis) 5
Exercises (Online discussion fora) 10
Exercises (Study relevant papers) 20
Essay background work40
Essay writing15
Overall work for the course125
Assessment Methods
  • Written assignment, in English, approximately 2,500 words long, to be submitted by each student at the end of the course

  • Assessment of knowledge at the beginning and the end of the course with short-answer questions and essays development

  • Weekly quizes, with multiple choice questions

  • Assessment based on comments submitted by each student in online discussion fora

Recommended Bibliography

  1. JL Semmlow. Biosignal and Biomedical Image Processing. 2004; Marcel Dekker Inc.
  2. BO Palsson. Systems Biology. Simulation of Dynamic Network States. 2011; Cambridge.
  3. P Wallisch et al. MATLAB for neuroscientists: an introduction to scientific computing in MATLAB. 2009; Elsevier.