Ero sivun ”Kurssitarjonta & tutkintorakenteet” versioiden välillä
Päivitetty kuolleet linkit |
Added a section that categorizes courses based on attendance requirements. Removed </translate> tags to submit changes |
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| Rivi 1: | Rivi 1: | ||
[[Category:Vaatii_päivityksen]] | [[Category:Vaatii_päivityksen]] | ||
< | <!--T:1-->== Kurssitarjonta ja tutkintorakenteet == | ||
You can browse the department courses from many sources: | You can browse the department courses from many sources: | ||
| Rivi 48: | Rivi 48: | ||
Tags: pakolliset, pakollinen, compulsory | Tags: pakolliset, pakollinen, compulsory | ||
== In-person attendance requirements / fully online courses == | |||
{{hatnote|Note that online/remote attendance may be required on some courses. The requirements may also change in different instances of the same course.}} | |||
=== Fully online courses === | |||
{{hatnote|Note that online lectures may be available}} | |||
* Big Data Platforms | |||
=== In-person teaching available, but still possible to complete fully online === | |||
* Data Science Study Skills | |||
* Academic Writing 1 | |||
* Introduction to Data Science | |||
* Introduction to Machine Learning | |||
* Engineering of Machine Learning Systems | |||
* Network Analysis | |||
* Information Retrieval | |||
* Philosophy of Artificial Intelligence | |||
* Human-Computer Interaction | |||
* Interactive Data Visualization | |||
* Seminar: Topics in Recommender Systems | |||
=== In-person attendance required only at the end of the course === | |||
{{hatnote|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 | |||
Versio 6. elokuuta 2024 kello 15.07
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 change in different instances of the same course.
Fully online courses
- Note that online lectures may be available
- Big Data Platforms
In-person teaching available, but still possible to complete fully online
- Data Science Study Skills
- Academic Writing 1
- Introduction to Data Science
- Introduction to Machine Learning
- Engineering of Machine Learning Systems
- Network Analysis
- Information Retrieval
- Philosophy of Artificial Intelligence
- Human-Computer Interaction
- Interactive Data Visualization
- 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