The course is based on ongoing research in the department or relevant requirements from industry. The course will deepen the expertise of a student within a focused application or research area. Individually or in small groups, students specialize in topics that are approved by members of the academic staff. The topics should be relevant for the specialization profile that the students have chosen. The students may be required to present scientific papers.
Pre-approved course topics:
- Artificial intelligence and learning systems (including one lecture introducing its application in eHealth. This topic is a compulsory basis for all students who want to proceed with the eHealth direction in ICT Seminar 2 (IKT441-G) and ICT Seminar 3 (IKT442-G) or 4 (IKT446-G))
- Cisco Certification Associate CCNA
- Embedded Systems
Be aware that not all topics in the seminar courses might be available every semester.
The course is organized in combination of lectures, assignments, paper studies, labs, and report writing. The tasks are done individually or in small groups with group supervision.
The work load for the average student is approximately 200 hours.
Faculty of Engineering and Science