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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