Gexin Yu

Links to some good (mini)courses

• Graph Theory (by Luke Postle, 32 lectures, undergraduate graph theory)
• Graph Theory (by Reinhard Diestel, 28 lectures)
• Extremal Combinatorics (by Hong Liu, 27 lectures)
• Graph Theory and Additive Combinatorics (by Yufei Zhao, 26 lectures)
• Probabilistic Methods (by Luke Postle, 25 lectures)
• Graph limits and flag algebras (by Andrzej Grzesik at IBS): day 1, day 2, day 3, day 4, day 5
• The method of hypergraph containers (by Wojciech Samotij at IBS): day 1, day 2, day 3, day 4, day 5,
• Potential Method: lecture 1, lecture 2 (by Dan Cranston)

• Probability (Harvard U Stat 110, first undergraduate course in probability)
• Single Variable Calculus (MIT 18.01, 39 lectures)
• Multivariable Calculus (MIT 18.02, 35 lectures)
• Linear Algebra (MIT 18.06, 34 lectures)
• Differential Equations (MIT 18.03SC, 32 lectures)
• Real Analysis (MIT 18.100B, 23 lectures)
• Topology (Marius Furter, 24 lectures)
• Algebraic Topology (Andrews U, 23 lectures, by Anthony Bosman)
• Introdction to Metric Spaces (MIT 18.S190, 6 lectures)
• Introduction to Functional Analysis (MIT 18.102, 23 lectures)
• Probability Theory I (graduate level) (UCSD, Todd Kemp)
• Probability Theory II(graduate level) (UCSD, Todd Kemp)
• Probability Theory III (graduate level) (UCSD, Todd Kemp)
• Quantum Information Theory (Christoph Dittel, 23 lectures)
• Psychology and Economics (MIT 14.13, 23 lectures)
• Introduction to Algorithms (MIT 6.006, 21 lectures)
• Principles of Microeconomics (MIT 14.01, 25 lectures)
• Principles of Macroeconomics (MIT 14.02, 25 lectures)
• Finance Theory I (MIT 15.401, 20 lectures)