Reinforcement Learning (DAT605)
Course description for study year 2023-2024
Facts
Course code
DAT605
Version
1
Credits (ECTS)
5
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Content
Course discription will be announced later.
Learning outcome
Emnebeskrivelse vil annonseres senere.
Required prerequisite knowledge
None
Recommended prerequisites
DAT120 Introduction to Programming, DAT540 Introduction to Data Science, STA500 Probability and Statistics 2
Exam
Project report and oral presentastion
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Project report (group) | 1/2 | Letter grades | ||
| Oral exam | 1/2 | Letter grades | None permitted |
Coursework requirements
Assignments
Course teacher(s)
Course coordinator:
Antorweep ChakravortyHead of Department:
Tom RyenCourse assessment
There must be an early dialogue between the course coordinator, the student representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.