Practices
We will mainly use Matlab/Octave in the practice sessions. You can find nice video tutorials here:
Octave: https://www.coursera.org/learn/machine-learning/lecture/9fHfl/basic-operations
Matlab: https://www.coursera.org/learn/machine-learning/supplement/Mlf3e/more-octave-matlab-resources
Solutions presented in any other language are also accepted, simply there will be some helpful code provided for you in Matlab
GitHub repo:
You can find practical session exercises from last year and new tasks from this year in there.
https://github.com/kuz/Computational-Neuroscience-Course
Dates and times
- 01.09: Lecture, not practice session
- 08.09: 01. Brain structure
- 19.09: (instead of lecture) Visit to EEG, fNIRS Lab at Psychology Department of University of Tartu
- 22.09: 02. Data Analysis
- 29.09: 03. Data Analysis II: Machine Learning
- 06.10: 04. Single Neuron Models
- 13.10: 05. Neuron Network Models
- 20.10: 06. Artificial Neural Networks
Practice sessions are over. Time to do Projects now.
You can come to our usual practice session room in Ülikooli 17-218 to work in teams or if you need some help (I will be there)
- In December Project presentations
Results The points accumulated so far are in this Google Sheets: Check your points here!