UoC MPhil Data Intensive Science and MPhil Economics and Data Science
Lectures
1. Getting started
2. Knowing your environment
3. Git
4. Building your Python package
5. Distributing your package
6. Automatic documentation
7. Tests and Errors
8. Python Package Index
9. Continuous Integration
10. Conda
11. Computing in Python
12. Wavelet scattering transform
13. Advanced Python
14. Optimization and Algorithm Complexity
15. Multi-language programming
16. Random Matrices
17. Multi-Agent Systems for Data Science
Miscellaneous
VSCode and Remote SSH
Jupyter and IPython on CSD3
Example Classes
Brownian motion simulations
Curse of dimensionality
Audio scattering classification
UoC MPhil Data Intensive Science and MPhil Economics and Data Science
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14.
Optimization and Algorithm Complexity
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14.
Optimization and Algorithm Complexity
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Refer to James Fergusson’s lecture on this topic.