CS 170: Efficient Algorithms and Intractable Problems - Prasad Raghavendra, Sanjam Garg
EECS 127: Optimization Models in Engineering - Somayeh Sojoudi
DATA C182: Deep Neural Networks - Eric Kim, Naveen Ashish
MATH 104: Introduction to Analysis - Norman Sheu
CS 189: Introduction to Machine Learning - Jonathan Shewchuk
MATH 110: Abstract Linear Algebra - Edward Frenkel
DATA 188: Statistical Inference Seminar- Ani Adhikari
CS 61C: Great Ideas in Computer Architecture (Machine Structures) - Dan Garcia, Justin Yokota
DATA C100: Principles & Techniques of Data Science - Fernando Perez, Narges Norouzi
DATA C140: Probability for Data Science - Ani Adhikari
CS 61A: Structure and Interpretation of Computer Programs - Jordan Schwartz, Mahnoor Haq, Timothy Tu
MATH 128A: Numerical Analysis - Per-Olof Persson
CS 1332: Data Structures & Algorithms - Frederic Faulkner
CS 2110: Computer Organization and Programming - Caleb Southern
MATH 2551: Multivariable Calculus - Doron Lubinsky
CS 1331: Introduction to Object-Oriented Programming - Richard Landry
CS 2050: Introduction to Discrete Mathematics - Ronnie Howard
MATH 1554: Linear Algebra - Alex Blumenthal