Public Goods
- Welcome to my Public Goods page! Here, I maintain a list of wonderful lecture notes and courses from professors at various universities in finance, economics, and computer science (mostly PhD-level courses) that have greatly benefited me. This is my way of supporting an open academic environment. If you find any errors, please feel free to contact me.
- I credited Eileen Bian for her recommendations.
Finance
- Empirical Asset Pricing - Ralph S.J. Koijen and Stijn Van Nieuwerburgh, University of Chicago, Columbia University
- Asset Pricing - John H. Cochrane, Hoover Institution
- Asset Pricing - Tarek Alexander Hassan, Boston University
- Asset Pricing I - Markus K. Brunnermeier, Princeton University
- Empirical Asset Pricing - Jun Pan, Shanghai Advanced Institute of Finance (SAIF)
- Empirical Methods in Corporate Finance - Todd Gormley, Washington University in St. Louis
- Corporate Finance and Financial Institutions - Itay Goldstein, University of Pennsylvania
- Topics in Dynamic Asset Pricing - Pietro Veronesi, University of Chicago
- Introduction to Asset Pricing - Hengjie Ai, University of Wisconsin-Madison
- Behavioral Finance - Nicholas Barberis, Yale University
- Behavioral Finance - Augustin Landier, HEC Paris
- Financial Economics - Kasa Kenneth, Simon Fraser University
- Macro-Finance Reading Group Lectures - Wenhao Li, University of Southern California
- Lecture Notes on International Finance - Zhengyang Jiang, Northwestern University
- Teaching Notes - John H. Cochrane, Hoover Institution
Economics
Econometrics
- Econometrics - Gary Chamberlain, Harvard University (by Paul Goldsmith-Pinkham)
- Applied Empirical Methods - Paul Goldsmith-Pinkham, Yale University
- Graduate Econometrics - Chris Conlon, New York University
- Econometric Theory II - Vadim Marmer, University of British Columbia
- Applied Econometrics - Junlong Feng, HKUST
Macro
- Topics in Macro Fluctuations and Policy - Rohan Kekre, University of Chicago
- Macro Theory 2 - Mark Gertler, New York University
- Macroeconomics II - Ömer Özak, Southern Methodist University
- Ph.D. Macro Theory II - Eric Sims, University of Notre Dame
- Ph.D. Advanced Macro - Eric Sims, University of Notre Dame
- Macroeconomics 1 - Dean Corbae, University of Wisconsin-Madison
- Macroeconomics with Heterogeneity - Matthew Rognlie, Northwestern University
Trade
- International Trade - Dave Donaldson, MIT
- Graduate Trade Course - Treb Allen, Dartmouth
- International Economics (ECON 6905) - Jonathan Dingel, University of Chicago
Numerical Methods
- Numerical Methods - Kenneth Judd, Stanford University
- Numerical Methods (Penn State 2025) - Kenneth Judd
Others
- PhD IO Course - Charlie Murry, Boston College
- Graduate IO - Chris Conlon, New York University
- Quantitative Economics with Julia
Computer Science
Machine Learning, Deep Learning
General Courses
- Introduction to Machine Learning (PhD) - Leila Wehbe, Carnegie Mellon University
- Practical Machine Learning - Qingqing Huang, Mu Li, Alex Smola, Stanford University
- Large Language Models: Methods and Applications - Chenyan Xiong, Daphne Ippolito, Carnegie Mellon University
- Advanced Machine Learning - David Sutherland, University of British Columbia
- Machine Learning and Data Mining - Various Lecturers, University of British Columbia
Natural Language Processing
- Speech and Language Processing - Dan Jurafsky & James Martin, Stanford University
- Natural Language Processing - Behrang Mohit, University of California, Berkeley
- Advanced NLP - Graham Neubig, Carnegie Mellon University
- Natural Language Processing with Deep Learning - Chris Manning, Stanford University
Computer Vision
- Deep Learning for Computer Vision - Fei-Fei Li, Ehsan Adeli, Stanford University
- Advances in Computer Vision - Bill Freeman & Phillip Isola, MIT
General Computer Science
- The Missing Semester of Your CS Education - MIT
- Applications of Parallel Computers - Aydin Buluc, Jim Demmel, University of California, Berkeley