Ero sivun ”Kurssitarjonta & tutkintorakenteet” versioiden välillä

Fuksiwikistä
Pniko (keskustelu | muokkaukset)
Added some courses
Pniko (keskustelu | muokkaukset)
Removed attendance requirements and moved them to page Etäopinnot ja läsnäolovaatimukset
 
Rivi 1: Rivi 1:
[[Category:Vaatii_päivityksen]]
[[Category:Vaatii_päivityksen]]


<!--T:1-->== Kurssitarjonta ja tutkintorakenteet ==
<!--T:1-->You can browse the department courses from many sources:
 
You can browse the department courses from many sources:


==== Kandi / Bachelors ====
==== Kandi / Bachelors ====
Rivi 46: Rivi 44:


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 be negotiable or change between different instances of the same course.}}
=== Fully online courses ===
{{hatnote|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 ===
{{hatnote|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 ===
{{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
* Helsinki Digital Humanities Hackathon
* Seminar on History of Computing

Nykyinen versio 8. elokuuta 2024 kello 11.57


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