This repository is a practical crash course for students joining CoCoLab or anyone who wants a focused introduction to the tools and workflows commonly used in the lab.
| Module | Topic |
|---|---|
| module_01_intro_git | Introduction to Git and version control |
| module_02_intro_python | Python basics, libraries, VS Code, and Jupyter |
| module_03_python_mne | Working with MNE-Python for EEG and MEG data |
| module_04_intro_alliance_canada | Beginner onboarding to Alliance, Fir, and Trillium |
| module_05_advanced_alliance_ai_workflows | Resource-aware AI workflows on Fir and Trillium |
| module_06_machine_learning | Getting started with scikit-learn and practical machine learning notebooks |
| module_07_source_estimation | Introduction to source estimation |
For more detailed notebooks on working with brain data, see the PSY2007D course materials. The notebooks numbered 0 to 8 in that repository provide longer guided examples.
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Clone the repository:
git clone https://github.com/thecocolab/crash-course.git cd crash-course -
Create and activate a virtual environment:
python -m venv venv source venv/bin/activate -
Install dependencies:
pip install -r requirements.txt