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| [[Category:Vaatii_päivityksen]] | | [[Category:Vaatii_päivityksen]] |
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| <!--T:1-->== Kurssitarjonta ja tutkintorakenteet == | | <!--T:1-->You can browse the department courses from many sources: |
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| You can browse the department courses from many sources: | |
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| ==== Kandi / Bachelors ==== | | ==== Kandi / Bachelors ==== |
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| Tags: pakolliset, pakollinen, compulsory | | Tags: pakolliset, pakollinen, compulsory |
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| == In-person attendance requirements / fully online courses ==
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| {{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.}}
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| === Fully online courses ===
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| {{hatnote|Note that online lectures may be available}}
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| * Programming Parallel Computers
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| * Big Data Platforms
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| * Data Warehousing and Business Intelligence
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| * Seminar on Big Data Management
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| === In-person teaching available, but still possible to complete fully online ===
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| * Data Science Study Skills
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| * Academic Writing 1
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| * Engineering of Machine Learning Systems
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| * Network Analysis
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| * Information Retrieval
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| * Philosophy of Artificial Intelligence
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| * Human-Computer Interaction
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| * Interactive Data Visualization
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| * Master's Thesis
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| === Additional requirements for skipping in-person attendance ===
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| {{hatnote|For example, an additional exercise may be required for skipping the final presentation}}
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| * Introduction to Data Science
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| * Introduction to Machine Learning
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| * Seminar: Topics in Recommender Systems
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| === In-person attendance required only at the end of the course ===
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| {{hatnote|For example, attending an exam or presentation in person is required}}
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| * Statistics for Data Science
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| * Sustainability in Computer and Data Sciences II
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| === In-person attendance required during course ===
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| * Sustainability in Computer and Data Sciences I
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| * Seminar on History of Computing
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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
