Tracks/Computer Science Math — Graduate (MS/PhD)
Computer Science Math — Graduate (MS/PhD)
graduateBeyond the undergraduate core: the rigor and depth a master's or PhD student needs for research in algorithms, theory, machine learning, or systems — real analysis for optimization/ML theory, abstract algebra for cryptography and coding theory, and the deeper end of complexity theory.
30
concepts
19h
estimated
7
sections
1
Rigorous Analysis (for ML theory & optimization)
2
Multivariable & Vector Calculus (for optimization/ML)
3
Advanced Linear Algebra
4
Abstract Algebra (for cryptography & coding theory)
5
Advanced Probability & Statistics (for ML)
6
Advanced Theory of Computation
7
Mathematics