Deze opleiding

See description below

open_in_newstudy website

typesummer course, 2 EC
taalvolledig English
opleidingsduur5 dagen voltijd

Do you have large-scale neuroscience datasets and lots of ideas, but need a better understanding of how to work with your data? Then this course is for you! You will learn key concepts in multichannel neuroscience analyses, including dimension-reduction, source separation, and least-squares modeling, and how to implement them in Matlab


taal van onderwijs100% en
After this course you are able to:

- Understand the key concepts in linear algebra including matrix multiplication, inverse, and projections, as well as know geometric and algebraic ways of representing data and analyses.
- Implement the least-squares algorithm to estimate general linear model parameters.
- Understand eigendecomposition and its use in dimensionality reduction and source separation.
- Simulate multivariate data to evaluate analysis methods and model overfitting.
study load
Pre-course assignments/reading: 5 hours
Class attendance: 40 hours
Self-study: 5 hours
Assignment(s): 5 hours
Presentation(s): 1 hour
Lab work: 5 hours
Total: 56 hours

Toelating en kosten

inbegrepen in collegegeld
registration fee
study material

De stad


? studenten volgen deze opleiding
?% daarvan is vrouw
? eerstejaars gestart in
?% daarvan is vrouw
20442 studenten aan de Radboud University Nijmegen
57% daarvan is vrouw
bron: HBO-raad/VSNU


Radboud Summer School
Meer informatie?
Bezoek de website van deze opleiding.

open_in_newstudy website