YH-program med kursplaner
Research Methods for Intelligent Systems 7.5 hp
Kursinnehåll
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
Förkunskapskrav
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.
Utbildningsnivå: Avancerad nivå
Kurskod/Ladokkod: TRIS22
Kursen ges vid: Tekniska högskolan
Fakta aktuellt kurstillfälle
- Typ av kursProgramkurstillfälle
- StudieformNormal
- Termin2026 Vecka 13 - Vecka 23
- Studietakt100%
- OrtJönköping
- KurstidDagtid
- StudieavgiftGäller enbart studenter utanför EU/EES/Schweiz21375 sek
- KursplanPDF
- AnmälningskodT1002
Sidan uppdaterad 2017-10-02