courses

learning to mix things up

source: xkcd.com/435/

probability and stochastic systems

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STATS 310A&B Theory of Probability, A. Montanari

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MS&E 321 Stochastic Systems, P. Glynn

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optimization and control

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EE 364A Convex Optimization, S. Boyd

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CME 304 Numerical Optimization, W. Murray

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MS&E 311 Linear Programming, Y. Ye

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MS&E 351 Dynamic Programming and Stochastic Control, B.

Van Roy

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EE 365 Stochastic Control, S. Boyd, B. Van Roy & S. Lall

power and energy

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CEE 272R Modern Power Systems Engineering, R. Rajagopal

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EE 292T SmartGrids and Advanced Power Systems Seminar, R.

Rajagopal

statistics and machine learning

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STATS 300A Theory of Statistics, L. Mackey

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STATS 315 A&B, Modern Applied Statistics: Learning & Date

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CS 229T, Statistical Learning Theory, P. Liang

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ECON 274, Advanced Econometrics II, J. Romano

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numerical analysis and scientific

computing

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CME 302 Numerical Linear Algebra, M. Gerritsen

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combinatorics and algorithms

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CME 305 Discrete Mathematics and Algorithms, A. Saberi

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CS 261 Optimization and Algorithmic Paradigms, S. Plotkin

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ECON 282 Contracts, Information, and Incentives, I. Segal

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