hongxin/csmath-2021

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

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Emerging

This is a mathematics course designed for first-year Ph.D. students in computer science and related fields. It provides an introduction to the core mathematical methods, concepts, and algorithms essential for research in these areas, covering topics like statistical learning, non-linear optimization, and partial differential equations. The course helps students develop a strong mathematical foundation for advanced studies and research.

No commits in the last 6 months.

Use this if you are a Ph.D. student in computer science or a related discipline seeking to strengthen your mathematical understanding for research.

Not ideal if you are looking for a beginner-level introduction to mathematics without prior knowledge of probability, statistics, and algorithms.

Computer Science Ph.D. Statistical Learning Non-linear Optimization Applied Mathematics Research Methods
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 9 / 25

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29

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License

MIT

Last pushed

Apr 27, 2021

Commits (30d)

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