UC Berkeley Coursework

Spring 2024 (subjected to change)
STAT 165 Forecasting - Jacob Steinhardt
STAT 157 Information Theory - Alexander Strang
MUSIC 158A Sound and Music Computing with CNMAT Technologies - Jonathan Kulpa

Fall 2023
CS 285: Deep Reinforcement Learning, Decision Making, and Control – Sergey Levine
CS 161: Computer Security – Peyrin Kao
CS 170: Efficient Algorithms and Intractable Problems – John Wright, Nika Haghtalab
CS 194-196 : Responsible GenAI and Decentralized Intelligence - Dawn Song, Matei Zaharia
Data 198: Career Search Strategies - Amanda M Dillon

Spring 2023
CS 189: Introduction to Machine Learning – Jonathan Shewchuk
EECS 127: Optimization Models in Engineering – Gireeja Ranade
EE 120: Signals and Systems – Babak Ayazifar
CS 370: Introduction to Teaching Computer Science – Christopher Hunn

Fall 2022
CS 186: Introduction to Database Systems – Alvin Cheung
Data 140: Probability for Data Science - Ani Adhikari
CS 194-224: Entrepreneurship in Web3 - Xiaodong Dawn Song
EECS 16B: Designing Information Devices and Systems II - Sayeef Salahuddin, Yi Ma
Econ 100A: Intermediate Microeconomic Theory - James D Campbell

Summer 2022
CS 61C: Great Ideas in Computer Architecture (Machine Structures) – Caroline Xinwei Liu, Justin Yokota
CS 70: Discrete Mathematics and Probability Theory – Jingjia Chen, Tarang Srivastava, Michael Peter Psenka
German R5B: Reading and Composition - Sarah M Harris

Spring 2022
CS 61B: Data Structures – Paul N Hilfinger
Data C100: Principles and Techniques of Data Science – Joshua A Hug, Lisa Yan
EECS 16A: Designing Information Devices and Systems I – Ana Claudia Arias, Miki Lustig
Stat 33B: Introduction to Advanced Programming in R – Gaston Sanchez Trujillo
INDENG 95: A. Richard Newton Lecture Series - Victoria Howell
Cogsci 1: Introduction to Cognitive Science - Paul Li

Fall 2021
CS 61A: Structure and Interpretation of Computer Programs – John Denero, Pamela Fox
Math 53: Multivariable Calculus – Suncica Canic
Data C8: Foundations of Data Science – Anindita Adhikari, David Wagner
CS Ethics Freshman Seminar – Armando Fox

Self-Study Online Lecture Courses

Note: \(*:=\) worked through at least half of the material

Winter 2023
MIT 18.06: Linear Algebra – Gilbert Strang
Summer 2022
CS 224N*: Natural Language Processing with Deep Learning – Christopher Manning
Coursera Deeplearning.ai: Generative Adversarial Networks (GANs) Specialization
Winter 2022
React, ReactNative, Javascript Online Tutorials
Summer 2021
Coursera Deeplearning.ai: Deep Learning Specialization