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Course Catalog 2014-2015
SGN-54006 Introduction to Neuroinformatics, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Marja-Leena Linne
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
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.
Completion parts must belong to the same implementation
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 | Edition, availability, ... | Examination material | Language |
| Lecture slides | Marja-Leena Linne | Yes | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| FYS-1101 Insinöörifysiikka II | Advisable | |
| MAT-01120 Insinöörimatematiikka B 1 | Advisable | |
| MAT-01220 Insinöörimatematiikka B 2 | Advisable | |
| MAT-01320 Insinöörimatematiikka B 3 | Advisable | |
| TIE-22100 Johdatus tietokantoihin | Advisable |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |