Skip to content
University of Jyväskylä
  • Study with us
  • Research
  • Science for All
  • For students
  • Collaboration
  • Faculties and departments
  • About us
  • EN
  • FI
Note: This is an archived version which is no longer updated.
To the latest guide
  1. Study guide 2024–28
  2. Faculty of Information Technology
  3. Advanced Studies in Artificial Intelligence

AIADV Advanced Studies in Artificial Intelligence (96+ cr)

Study level:
Advanced studies
Grading scale:
0-5
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
Elective studies:
No

Description

-

Learning outcomes

-

Structure

Select all (95+ cr)
  • Compulsory Core Studies

    Select all (50–54 cr)
    • TIES4910 Deep-Learning for Cognitive Computing, Theory (5 cr)
    • ITKS5440 Semantic Web and Linked Data (5 cr)
    • TIES4530 Collective Intelligence and Agent Technology (5–7 cr)
    • TIES458 Self-assessment on Study Process (0 cr)
    • TIES4570 Cognitive Service Development Project (15 cr)
    • TIES4911 Deep-Learning for Cognitive Computing for Developers (8–10 cr)
    • TIES4520 Semantic Technologies for Developers (7 cr)
    • TIES454 Agent Technologies for Developers (5 cr)
  • Compulsory Theses Studies

    Select all (36 cr)
    • TIES5011 Research Methods in Computer Science (3 cr)
    • AIAS5001 Master Thesis Seminar for IMDP AI students (3 cr)
    • AIAS5002 Master's Thesis (30 cr)
    • AIAS5003 Maturity Test (MSc) (0 cr)
  • Elective Studies

    Select min. 9 cr
    • TIES411 Computer Vision and Image Analysis (5 cr)
    • TIES481 Simulation (5 cr)
    • TIES599 Professional Training (5–12 cr)
    • TIES5991 Professional Training Abroad (5–12 cr)
    • TIES4200 Natural Language Processing (5 cr)
    • TIES4560 SOA and Cloud Computing (5 cr)
    • Any other subject related course provided by the IT Faculty (to be consulted with study advisor)

      Select min. 0 cr
      • Any course unit
University of Jyväskylä
Accessibility