Format for Coding assignments¶
We (TA and Prof.) currently accept code in
Python (
*.py)Julia (
*.jl)Jupyter Notebooks (
*.ipynb) with either Python or Julia code
Please also tell us about the runtime environment (e.g. Python/Julia version, and packages). Providing dependency files is encouraged (e.g. requirements.txt for pip / environment.yml for conda / Project.toml and Manifest.toml for Julia). Reproducibility matters.
Uploading your assignments¶
Please upload your assignments to the assignment section in NTU COOL (https://
cool .ntu .edu .tw/). Please upload other parts (text, math expressions, figures) along with the code if needed. NTU COOL supports uploading multiple files at once so you don’t have to archive them.
Please make sure your files and links are valid (by downloading and open again). Broken ones will receive no credit.
Contact TA by e-mail if you have technical problems. (cannot access NTU COOL, cannot upload assignments, etc.)
Getting scores¶
You will receive full credit if and only if the output is correct and your code is able to reproduce it.
Wrong numbers / figures due to slight bugs in the code = partial credit.
No code or spaghetti code that TA/Prof. cannot reproduce = no credit.
Late HW = no credit. (However, if you really have difficulties finishing the HW by the due date, please contact us beforehand.)