Professor in charge: Lauri Parkkonen

Extent: 65 credits

Abbreviation: NEURO

Code: SCI3061

Objectives

This major gives the students a strong background for understanding structure and function of the human brain, human cognition, as well as theoretical and practical knowledge of brain research methods and other neurotechnologies. After completing their studies, the students have an excellent background for a career in science and for applying their expertise in more applied fields such as medical technology, health and wellbeing, and game industry.

Content and structure

This major provides the students with up-to-date information on brain structure and function at different levels of analysis. Curriculum reflects the research interests of the faculty, who study sensory systems, cognitive functions, and develop brain research technologies. In modern neuroscience, command of advanced statistical and signal-analysis methods is mandatory; therefore, specific courses are included to cover this supporting field. The imaging courses of this major provide the students with an overview and hands-on practice of modern brain research methods.

Besides the regular lecture and course work, there is a compulsory special assignment, which exposes the student to a real research question and integrates him/her to a research team to learn the practices of the field and to develop his/her skills in reporting research.

 

Code

Course

Credits

Period/Year

Compulsory common courses of the programme (15 credits):

MS-C1620Statistical Inference1)5III-IV/1

JOIN-E3000

Life Science Technologies Project Course

10

III-V/1

Compulsory courses of the major (50 credits)

1 Neuroscience and imaging (35 credits)

NBE-E4210

Structure and Operation of the Human Brain

5

I-II/1

NBE-E4000

Principles of Biomedical Imaging

5

I-II/1

NBE-E4225

Cognitive Neuroscience

5

III/1

NBE-E4240

Advanced Course on Human Neuroscience

5

IV-V/1

NBE-E4045

Functional Brain Imaging

5

I-II/2

NBE-E4520

Special Assignment in Human Neuroscience

10

I-V, Summer/1 or 2

2 Analysis and modelling (5–10 credits)

Select from the courses below.

NBE-E4050

Signal Processing in Biomedical Engineering

5

I-II/1

CS-E5710

Bayesian Data Analysis

5

I-II/2

CS-E4710Machine Learning, Supervised methods5I-II/1 or 2

CS-E5740

Complex Networks

5

I-II/1 or 2

3 Supporting courses (5–10 credits).

Select primarily from the ones below. Other relevant courses from other Life Science Technologies majors possible with an agreement of the responsible professor of the major.

NEU-104 *

Integrative neurobiology (course at University of Helsinki) *

5

II-III/1

NBE-E4120

Cellular Electrophysiology

5

I-II (even years)

NBE-E4130

Information Processing in Neural Circuits

5

III-V (odd years)

NBE-E4010

Medical Image Analysis

5

I-II (odd years)

NBE-E4020

Medical Imaging

5

III-IV (even years)

NBE-E4300

Medical Device Innovation

5

III-IV (even years)

NBE-E4250Mapping, Decoding and Modeling the Human Brain5III (odd years)
NBE-E4260Genesis and Analysis of Brain Signals5III-IV

1) If the student has already taken MS-C1620 in the Bachelor degree or has the corresponding knowledge and skills, he/she should replace MS-C1620 either with a more advanced statistics course such as MS-E2112 or an extra course from Analysis and Modelling category.

*Please note that this course is part of the curriculum and it is not handled as a credit transfer. If you have completed the course, send the transcript of records to your study coordinator and the course will be registered with the grade.

Recommendations for elective studies

Students are encouraged to take courses from other Majors of the Life Sciences Technologies programme, depending on own interests. Those who are especially interested in neurotechnologies, can extend their knowledge profile by taking courses from Biomedical Engineering major and Biosensing and Bioelectronics major. Internship is also recommended in elective studies.