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  

Updated by: Kunnari Jaana, 05.03.2019