Kurssitarjonta & tutkintorakenteet
Kurssitarjonta ja tutkintorakenteet
You can browse the department courses from many sources:
Kandi / Bachelors
Tutkinnon laajuus ja tutkintorakenne
Maisteri / Masters
Scope and structure of the degree
Data science
Scope and structure of the degree
Math / Stat
Sisu is the most reliable truth for courses. Other systems fetch data from there. Summer, "V period", Christmas and one-off courses might appear there quite late. Follow your email for info of these!
Tags: pakolliset, pakollinen, compulsory
In-person attendance requirements / fully online courses
- Note that online/remote attendance may be required on some courses. The requirements may also be negotiable or change between different instances of the same course.
Fully online courses
- Note that online lectures may be available
- Programming Parallel Computers
- Big Data Platforms
- Data Warehousing and Business Intelligence
- Seminar on Big Data Management
In-person teaching available, but still possible to complete fully online
- Data Science Study Skills
- Academic Writing 1
- Engineering of Machine Learning Systems
- Network Analysis
- Information Retrieval
- Philosophy of Artificial Intelligence
- Human-Computer Interaction
- Interactive Data Visualization
- Master's Thesis
Additional requirements for skipping in-person attendance
- For example, an additional exercise may be required for skipping the final presentation
- Introduction to Data Science
- Introduction to Machine Learning
- Seminar: Topics in Recommender Systems
In-person attendance required only at the end of the course
- For example, attending an exam or presentation in person is required
- Statistics for Data Science
- Sustainability in Computer and Data Sciences II
In-person attendance required during course
- Sustainability in Computer and Data Sciences I
- Seminar on History of Computing