BMT-54006 Introduction to Neuroinformatics, 5 cr
Additional information
The course will be lectured every second year.
Suitable for postgraduate studies.
Person responsible
Marja-Leena Linne, Jugoslava Acimovic
Lessons
| Implementation | Period | Person responsible | Requirements |
| BMT-54006 2019-01 | 4 |
Marja-Leena Linne |
Accepted final exam or learning diary, participation in demonstrations, exercise work and seminar presentation. Graduate students may take the course by fulfilling additional course work. |
Learning Outcomes
After completing the course the student can define the term 'neuroinformatics' and can name the different subfields of neuroinformatics. The student can list the main methodology used in neuroinformatics and the main application areas. The student will also be familiar with some of the existing freely available tools commonly used in neuroinformatics and will obtain user experience of at least one tool. The student can also indicate the drawbacks of existing tools and potential future needs for further development of computational and informatics tools in neuroscience. The student is able to write, based on the exercise, a summary about one state-of-the-art methodology or tool developed in the field of neuroinformatics.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Most common concepts and methods applied in neuroinformatics | Subfields of neuroinformatics | |
| 2. | Most common computational tools used in neuroinformatics | Future development of the tools |
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Lecture slides | Marja-Leena Linne | Yes |
Prerequisites
| Course | Mandatory/Advisable | Description |
| FYS-1040 Johdatus yliopistofysiikkaan | Advisable | |
| FYS-1070 Yliopistofysiikka 3 | Advisable | |
| MAT-01100 Insinöörimatematiikka X 1 | Advisable | |
| MAT-01200 Insinöörimatematiikka X 2 | Advisable |
Additional information about prerequisites
The course is an interdisciplinary and multidisciplinary course integrating quantitative sciences (math, physics, chemistry, computer science, informatics) and neurobiological knowledge. The course is most suitable to students with some quantitative background. Students with background in biology and medicine are also very welcome to attend; the pre-reading material of the course will be selected in such a way that it becomes possible to follow and pass the course successfully.
Correspondence of content
| Course | Corresponds course | Description |
| BMT-54006 Introduction to Neuroinformatics, 5 cr | SGN-54006 Introduction to Neuroinformatics, 5 cr |