Research Methods for Intelligent Systems 7.5 credits
Course Contents
The course comprises of lectures and seminars. The lectures broadly cover the theoretical foundations of typical research approaches in artificial intelligence and related areas as well as common research methods and ways of reporting research findings. The seminars cover academic communication, state-of-the-art development in artificial intelligence from a scientific perspective, and open research questions and challenges.
The course includes the following elements:
- Information retrieval and literature surveys
- Qualitative and quantitative approaches to research
- Computer science as a scientific paradigm
- Research methods in computer science
- Basic and applied research in artificial intelligence
- Ethical considerations
- Assessment of scientific quality
Prerequisites
Passed courses at least 90 credits within the major subject Computer Engineering, Computer Science, Electrical Engineering (with relevant courses in Computer Engineering), or equivalent, or passed courses at least 150 credits from the programme Computer Science and Engineering, and completed course Machine Learning, 7,5 credits or equivalent. Proof of English proficiency is required.
Level of Education: Second cycle
Coursecode/Ladok code: TRIS22
The course is conducted at: School of Engineering
| Label | Value |
|---|---|
| Type of course | Programme instance course |
| Study type | Normal teaching |
| Semester | Spring 2026: week 13 – week 23 |
| Rate of study | 100% |
| Language | English |
| Location | Jönköping |
| Time | Day-time |
| Tuition fees do NOT apply for EU/EEA citizens or exchange students | 21375 SEK |
| Syllabus (PDF) | |
| Application code | HJ-T1002 |