Introduction to Data science and AI
Course
DIT408
Bachelor’s level
7.5 credits (ECTS)
Offered by the
Department of Computer Science and Engineering
at the
Faculty of Science and Technology
Prerequisites and selection
Entry requirements
To be eligible for the course students should have:
- 7\.5 hec in basic mathematics (containing e.g. calculus, linear algebra and/or discrete mathematics) or the course Applied mathematical thinking (DIT025 or equivalent).
- 7,5 hec mathematical statistics (e.g. MSG810 or DIT862 or DIT278 or similar) or the two courses DIT847 and DIT278 (or equivalent) or the course DIT022.
- 7,5 hec Programming in a General-Purpose Language (e.g. C/C++/Java/Python or similar.
Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
