Curriculum

This repository contains a course of study for NCC lab members.

The course is divided into modules, designed to be as independent as possible from each other.

Modules

1. Git and Github

topic	resources
1.1. Introduction to Git and Github	follow
1.2. Version control of your own project	follow
1.3. Collaborative workflow using Github	follow

2. Python

topic	resources
2.1. Intro to Python	follow
2.2. Scientific Python	follow
2.3. Visualization	follow
2.4. Debugging	follow
2.5. Testing	follow
2.6. Packaging	follow
2.7. Reproducible workflows	follow

3. Shell programming

topic	resources
3.1. Intro to shell programming	follow
3.2. Writing shell scripts	follow

4. EEG/MEG analyses and MNE

topic	resources
4.1. What are EEG and MEG measuring?	follow
4.2. Pre-processing	follow
4.3. Sensor space analyses	follow
4.4. Source space analyses	follow
4.5. Time-decoding	follow
4.5. Unsupervised approaches	follow

5. Parallel processing and High Performance Clustering

topic	resources
5.1. Introduction to parallel processing	follow
5.1. Using HPC systems	follow

6. Other tools for reproducible workflows

topic	resources
6.1. Pre-registration	follow
6.2. Containers	follow
6.3. Jupyter Notebooks	follow
6.4. Binder	follow

Other useful links