Ero sivun ”Kurssitarjonta & tutkintorakenteet” versioiden välillä
Small fixes |
Added some courses |
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| Rivi 2: | Rivi 2: | ||
<!--T:1-->== Kurssitarjonta ja tutkintorakenteet == | <!--T:1-->== Kurssitarjonta ja tutkintorakenteet == | ||
You can browse the department courses from many sources: | You can browse the department courses from many sources: | ||
| Rivi 54: | Rivi 53: | ||
{{hatnote|Note that online lectures may be available}} | {{hatnote|Note that online lectures may be available}} | ||
* Programming Parallel Computers | |||
* Big Data Platforms | * Big Data Platforms | ||
* Data Warehousing and Business Intelligence | |||
=== In-person teaching available, but still possible to complete fully online === | === In-person teaching available, but still possible to complete fully online === | ||
| Rivi 65: | Rivi 66: | ||
* Human-Computer Interaction | * Human-Computer Interaction | ||
* Interactive Data Visualization | * Interactive Data Visualization | ||
* Master's Thesis | |||
=== Additional requirements for skipping in-person attendance === | === Additional requirements for skipping in-person attendance === | ||
Versio 7. elokuuta 2024 kello 11.44
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
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