Reinforcement Learning 7.5 credits
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 Computer Science and Engineering programme, and taken courses in Artificial Intelligence, 7,5 credits, Machine Learning, 7,5 credits and Deep Learning, 7,5 credits or equivalent. Proof of English proficiency is required.
Level of Education: Second cycle
Coursecode/Ladok code: TFSS25
The course is conducted at: School of Engineering
Label | Value |
---|---|
Type of course | Programme instance course |
Study type | Normal teaching |
Semester | Autumn 2024: week 43 – week 2 |
Rate of study | 100% |
Language | English |
Location | Jönköping |
Time | Day-time |
Tuition fees do NOT apply for EU/EEA citizens or exchange students | 18750 SEK |
Syllabus | |
Application code | HJ-T4417 |