Introduction to Neuroinformatics, 5 cr

Tampere University

Description
Completion options

Teaching periods

Course code

BBT.HTI.503

Language of instruction

English

Academic years

2024–2025, 2025–2026, 2026–2027

Level of study

Advanced studies

Grading scale

General scale, 0-5

Persons responsible

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

Lectures (English)

03.03.2025 – 27.04.2025

Exam

Electronic exam (English)

02.05.2025 – 31.05.2025