autumn 2023
INF-3770 Computer Science in Health Technology - 10 ECTS
Admission requirements
Higher Education Entrance Requirement + Bachelor's degree in Computer Science or similar education. The Bachelor degree must contain a specialization in Computer Science worth the equivalent of not less than 80 ECTS credits. Application code: 9371 - Singular courses at master's levelCourse content
The course presents computer science research and development in health technology, with focus on relevant research in projects at Department of computer science. Areas covered include: medical computations, biomedical decision-making, standards in medical informatics, ICT in healthcare, computer architecture for health and biomedical systems, system engineering in healthcare, natural language systems in healthcare, medical imaging, patient-centered health IT systems, evaluation criteria for healthcare systems, electronic health records, telemedicine, clinical decision support systems, ambient assisted living, smart homes, bioinformatics, ethics in medical informatics, modern applications and trends and future applications in medical computer science and medical informatics.Objectives of the course
Knowledge - The student has
- thorough understanding of medical computer science and medical informatics, both as a scientific discipline and a pragmatic set of tools and techniques,
- good understanding of about methods for use of medical data,
- deep knowledge about heuristics and statistical decision making in medicine,
- good knowledge about computer architectures for health care and biomedicine,
- comprehensive understanding of standards in medical informatics and the process of software engineering for health care and biomedicine,
- extensive knowledge about biomedical imaging informatics and the importance of medical imaging in medicine,
- good knowledge about evaluation of biomedicine and health information resources; and
- understanding of the need for ethics in biomedical and health informatics.
Skills - The student can
- identify the core topics of medical computer science and medical informatics.
- analyze the state of the science and current research issues related to the foundation of medical computer science and medical informatics,
- characterize different domains of medical computer science and medical informatics such as decision support systems, medical imaging and laboratory systems; and
- evaluate a given medical information system based on different criteria such as security, embedded decision support systems and classification systems.
General competence - The student can
- apply the knowledge of medical computer science and medical informatics in management of clinical ICT systems,
- evaluate possibilities and limitations of clinical ICT systems,
- understand the main medical problems health care workers are facing in their daily work and how these can be supported by the use of medical computer science and medical informatics applications; and
- understand basic terminologies within technology in medicine and are able to evaluate clinical ICT challenges from both basic medical and technology viewpoint.
Information to incoming exchange students
This course is available for inbound exchange students.
This course is open for inbound exchange student who meets the admission requirements, including prerequisites. Please see the Admission requirements" and the "Prerequisite" sections for more information.
Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: https://en.uit.no/education/art?p_document_id=510412.
Examination
| Examination: | Date: | Duration: | Grade scale: |
|---|---|---|---|
| School exam | 15.12.2023 09:00 |
4 Hours | A–E, fail F |
Coursework requirements:To take an examination, the student must have passed the following coursework requirements: |
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| Exercises / laboratory reports | Approved – not approved | ||
- About the course
- Campus: Tromsø |
- ECTS: 10
- Course code: INF-3770
- Responsible unit
- Department of Computer Science
- Earlier years and semesters for this topic