Kurssitarjonta & tutkintorakenteet

Kurssitarjonta ja tutkintorakenteet

You can browse the department courses from many sources:

Kandi / Bachelors

Tutkinnon laajuus ja tutkintorakenne

• 
  Tutkintorakenne

• 
  Opetussuunnitelma guidessa
• 
  kurssihaku

Maisteri / Masters

Scope and structure of the degree

• 
  Syllabus in guide
• 
  course search

Data science

Scope and structure of the degree

• 
  Syllabus in guide

Math / Stat

Opintotarjonta

• 
  syllabus
• 
  course search

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