Syllabus for Medical Informatics
- 5 credits
- Course code: 1MD030
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Computer Science A1F,
Human-Computer Interaction A1F
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Established: 2014-03-13
- Established by:
- Revised: 2020-02-12
- Revised by: The Faculty Board of Science and Technology
- Applies from: Autumn 2020
120 credits with 60 credits in science/engineering including a course at Master's level in computer-assisted image analysis, e.g. Computer-Assisted Image Analysis I, or a course at Master's level in human-computer interaction. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Responsible department: Department of Information Technology
On completion of the course, the student should 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).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.
- Latest syllabus (applies from Autumn 2020)
- Previous syllabus (applies from Spring 2019)
- Previous syllabus (applies from Autumn 2015)
- Previous syllabus (applies from Autumn 2014)
The reading list is missing. For further information, please contact the responsible department.