Specialisation Course in Machine Intelligence
2025/2026
Content, progress and pedagogy of the module
Learning objectives
Knowledge
The student should achieve in-depth insight into key issues in contemporary research in machine intelligence
Skills
Based on a scientific article in the course's central themes, the student should be able to:
- give a clear and understandable presentation of the article's key elements, including its premises, issue(s), theory, methods, results and conclusions
- explain relevant theories, methods and arguments presented in the article
Competences
Based on a scientific article in the course's central themes, the student should be able to:
- relate the theories, methods and results presented in the article to the course topics
- assess the proposed solutions, results and/or conclusions of the article as well as assess their qualities and practicality and put them into perspective
Type of instruction
The type of instruction is organised in accordance with the general instruction methods of the programme, cf. § 17.
Extent and expected workload
It is expected that the student uses 30 hours per ECTS, which for this activity means 150 hours
Exam
Exams
| Name of exam | Specialisation Course in Machine Intelligence |
| Type of exam | Oral exam
Individual oral exam of 45-minutes. The examiner is given a task
which is handed out 7 days prior to the examination |
| ECTS | 5 |
| Permitted aids | Aids (if any) will be posted on the course page In MOODLE |
| Assessment | 7-point grading scale |
| Type of grading | External examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Additional information
Contact: The Study board for Computer Science at cs-sn@cs.aau.dk or 9940 8854
Facts about the module
| Danish title | Specialiseringskursus i maskinintelligens |
| Module code | DSNCSITK325 |
| Module type | Course |
| Duration | 1 semester |
| Semester | Autumn
|
| ECTS | 5 |
| Language of instruction | English |
| Empty-place Scheme | Yes |
| Location of the lecture | Campus Aalborg |
| Responsible for the module |
Organisation
| Education owner | Master of Science (MSc) in Computer Science (IT) |
| Study Board | Study Board of Computer Science |
| Department | Department of Computer Science |
| Faculty | The Technical Faculty of IT and Design |
