Computational medical research
| Title | Υπολογιστική ιατρική έρευνα / Computational medical research |
| Code | Ε3 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Efstratios Kosmidis |
| Common | No |
| Status | Active |
| Course ID | 600018996 |
Programme of Study: PPS Medical Research Methodology
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Elective Courses | 1 | 1 | 4 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Weekly Hours | 4 |
| Total Hours | 96 |
| Class ID | 600290276
|
Course Type 2021
Skills Development
Course Type 2016-2020
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600290276
- eLearning: https://elearning.auth.gr/course/view.php?id=12503
Language of Instruction
- English (Instruction, Examination)
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
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Work in an interdisciplinary team
Course Content (Syllabus)
Computational medical research is an emerging discipline devoted to the development of quantitative approaches for understanding the mechanisms, diagnosis and treatment of human disease through applications of mathematics, engineering and computational science. During the course, the core notion of models in science will be introduced and discussed. Basic MATLAB skills •Biomedical signal analysis •Intracellular pathway modeling •Machine learning in Medical Informatics
Keywords
MATLAB, Signal Analysis, Simulations, Machine Learning
Educational Material Types
- Slide presentations
- Video lectures
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
• 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)
Student Assessment
Student Assessment methods
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Additional bibliography for study
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.
Last Update
20-12-2021
