EPN-V2

STKD6800 Neuro-insights: Data Science Approaches in Neuroscience I Course description

Course name in Norwegian
Neuro-insights: Data Science Approaches in Neuroscience I
Study programme
Neuro-insights: Data Science Approaches in Neuroscience
International Summer School - Faculty of Technology, Art and Design
Weight
5.0 ECTS
Year of study
2020/2021
Programme description
Course history

Introduction

Ingen.

Recommended preliminary courses

This course is recommended for PhD and Master Students that are involved in neuroscience research projects. It is an advantage if the student has knowledge in algebra, linear algebra, statistics, calculus, neurophysiology, and any programming language, especially Python.

Required preliminary courses

Individuell skriftlig eksamen under tilsyn, 6 timer.

Learning outcomes

Ingen.

Teaching and learning methods

Gradert skala A-F.

Course requirements

10 studiepoeng overlappende med AKUTT6000.

Assessment

An individual oral presentation, which counts for 100% of the final mark

The oral presentation cannot be appealed.

Permitted exam materials and equipment

Only personal notes written in non-digital media will be allowed during the oral exam.

Grading scale

The final assessment will be graded on a grading scale from A to E (A is the highest grade and E the lowest) and F for fail.

Examiners

Two examiners will be used, one of which can be external. External examiner is used regularly.

Overlapping courses

The course has 5 ECTS of overlapping content towards "Neuro-insights: Data Science Approaches in Neuroscience II (STKD6810)