Deze opleiding
See description below
open_in_newstudy website
| locatieNijmegen |
| diplomacertificate |
| 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
Onderwijs
| taal van onderwijs | 100% en |
|---|---|
| avondonderwijs | n.v.t. |
| afstandsonderwijs | n.v.t. |
objectives
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 hoursClass 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
| certificate |
| registration fee |
| lunch |
| study material |
Contact
Radboud Summer School