Ero sivun ”Kurssitarjonta & tutkintorakenteet” versioiden välillä

Fuksiwikistä
Pniko (keskustelu | muokkaukset)
Added category for additional requirements
Pniko (keskustelu | muokkaukset)
Small fixes
Rivi 49: Rivi 49:


== In-person attendance requirements / fully online courses ==
== In-person attendance requirements / fully online courses ==
{{hatnote|Note that online/remote attendance may be required on some courses. The requirements may also be negotiable or change in different instances of the same course.}}
{{hatnote|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 ===
=== Fully online courses ===
Rivi 57: Rivi 57:


=== In-person teaching available, but still possible to complete fully online ===
=== In-person teaching available, but still possible to complete fully online ===
{{hatnote|Note that online lectures may be available}}
* Data Science Study Skills
* Data Science Study Skills
* Academic Writing 1
* Academic Writing 1

Versio 6. elokuuta 2024 kello 16.04


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

Opintotarjonta

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
  • Big Data Platforms

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

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