Syllabus, Master's level, 1MD030
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Computer Science A1F, Human-Computer Interaction A1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 13 March 2014
- Responsible department
- Department of Information Technology
120 credits with 60 credits science studies including an advanced course in Computer Supported Image Analysis. An introductory course in Human-Computer Interaction is recommended.
In order to pass, the student must be able to
- determine which problems in health care practice are appropriate to address, including ethical and safety positions, by using computerised methods for visualisation and analysis
- account for how practices within health care can be supported by computerised tools
- select and apply appropriate methods, e.g. from image analysis, for addressing specific problems in health care
- describe how the requirements of different stakeholders within health care (e.g. physicians, nurses, lab analysts) can be studied and fulfiled
- describe the challenges in designing advanced data analysis and information systems for health care practice
- account for the challenges in deploying and using advanced data analysis and information systems in health care practice
Medical documentation and electronic patient records. Image capturing, analysis and processing techniques. Medical terminology and standards. Modelling, simulation, and visualisation as tools for diagnosis and therapy. Medical knowledge representation and decision support. User interfaces in health care. Telemedicine.
Lectures. Project work in groups. Guest lectures. Study visits. Tutoring of group work.
Written tests and assignments (3 credits). Oral and written presentation of project work (2 credits).
No reading list found.