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Course unit, curriculum year 2021–2022
BBT.HTI.503

Introduction to Neuroinformatics, 5 cr

Tampere University
Teaching periods
Active in period 4 (7.3.2022–15.5.2022)
Active in period 5 (16.5.2022–31.7.2022)
Course code
BBT.HTI.503
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Jugoslava Acimovic until 31.12.2021
Responsible teacher:
Marja-Leena Linne
Responsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %
Common learning outcomes
International outlook and global responsibility
Core content
  • Most common concepts and methods applied in neuroinformatics
  • Most common computational tools used in neuroinformatics
Complementary knowledge
  • Subfields of neuroinformatics
  • Future development of the tools
Learning outcomes
Prerequisites
Recommended prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
Accepted final exam, participation in demonstrations, exercise work and computer exercise work. If the course is included as the graduate school study, the student will prepare an additional written essay about a scientific article. Written exam, grading 1-5.
Completion of all options is required.

Participation in teaching

10.03.2022 12.05.2022
Active in period 4 (7.3.2022–15.5.2022)

Exam

25.04.2022 31.05.2022
Active in period 4 (7.3.2022–15.5.2022)
Active in period 5 (16.5.2022–31.7.2022)