Etäopinnot ja läsnäolovaatimukset

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
Helsinki Digital Humanities Hackathon
Seminar on History of Computing