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Brainhack School Taiwan

Modules

Brainhack school provide pre-made tutorial on modules that is particularly important to neuroscience. For each module, you should follow the tutorial, watch the Youtube clips, and do the exercise. Some modules have further reading resources that provide deeper understanding to related topic. If you have questions or comments about the contents, you can post that on discord server #modules channel. You can also share other useful resource on discord server.

You have to complete 6 modules in week 1, 3 modules in week 2, and 1 module in week 3. Of course, you can complete all the modules. But for students who have limited time, you should choose the modules that is related to your projects. You can post your concerns on the discord server or discuss with TAs to find your direction for picking modules.

Brainhack School Taiwan have flexible schedule such that students are encouraged to complete modules before May. Some modules have assignment that is not accessible by that time, we will prepare substitutive assignments to Taiwan hubs.

TOC

  1. Week 1 (2023/05/08-2023/05/14)
  2. Week 2 (2023/05/15-2023/05/21)
  3. Week 3 (2023/05/22-2023/05/28)
  4. Week 4 (2023/05/29-2023/06/04)

Week 1 (2023/05/08-2023/05/14)

The modules marked with ⭐ are mandatory. Including the madatory modules, you will be required to complete 6 modules out of the following list:

Modules assignment TA(s)
⭐Installation of software Exercise Chih-Chia Hsing, Yu-Shiang Su
⭐Introduction to the terminal Exercise Po-Hsuan Huang, Chih-Chia Hsing
⭐Introduction to git and github Exercise Amanda Lin, Yun-Han Hsu, Chih-Chia Hsing
Python for data analysis Exercise Amanda Lin, Po-Hsuan Huang, Yun Chuang
Machine learning - basics Exercise Ruo-Chi Yao
Project management Exercise Chih-Chia Hsing
High performance computing Exercise Yu-Shiang Su
Open data Exercise Chih-Chia Hsing
Writing scripts in python Exercise Amanda Lin, Po-Hsuan Huang, Yun-Han Hsu

Week 2 (2023/05/15-2023/05/21)

You will be required to complete 3 modules out of the following list:

Modules assignment TA(s)
Introduction to deep learning Exercise Ding-Ruey Yeh, Ruo-Chi Yao
Deep learning for neuroimaging Exercise Yu-Shiang Su
Machine learning for neuroimaging Exercise Ruo-Chi Yao
Functional connectivity in fMRI Exercise Ding-Ruey Yeh, Yun Chuang, Chih-Chia
Functional parcellations in fMRI Exercise Ding-Ruey Yeh
The Brain Imaging Data Structure (BIDS) ecosystem Exercise Chih-Chia Hsing
DataLad for reproducible research data management Exercise Yu-Shiang Su
Working with MNE-Python and EEG-BIDS Exercise Amanda Lin
Neuroimaging data and file structures in Python Exercise Yu-Shiang Su
Introduction to dMRI Exercise Yu-Shiang Su

Week 3 (2023/05/22-2023/05/28)

You will be required to complete 1 module out of the following list:

Modules assignment TA(s)
Data visualization Exercise Yun Chuang, Yun-Han Hsu, Amanda Lin
Python packaging Exercise Amanda Lin, Po-Hsuan Huang, Yun Chuang
Testing and continuous integration Exercise Yu-Shiang Su
Containers Exercise Yu-Shiang Su

Week 4 (2023/05/29-2023/06/04)

Porject Wrap-up. You should concentrate on finalzing project. No module is required to complete.