UC Berkeley Coursework

Fall 2024

CS 168: Introduction to the Internet: Architecture and Protocols - Sylvia Ratnasamy
Did not take any other technical courses this semester. Still focused purely on research.

Spring 2024

Did not take any technical courses this semester. Focused purely on research.

Fall 2023

CS 162: Operating Systems and System Programming - Natacha Crooks
CS 170: Efficient Algorithms and Intractable Problems - John Wright, Nika Haghtalab
CS 370: Adaptive Instruction Methods in Computer Science - Christopher Hunn

Summer 2023

CS 160: User Interface Design and Development - Michael Ball

Spring 2023

CS 189: Introduction to Machine Learning - Jonathan Shewchuk
EECS 127: Optimization Models in Engineering - Gireeja Ranade
CS 161: Computer Security - Raluca Ada Popa, Peyrin Kao

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
Stat 33B: Introduction to Advanced Programming in R - Gaston Sanchez Trujillo

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

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
Econ 100A: Microeconomics - James D Campbell

Fall 2021

CS 61A: Structure and Interpretation of Computer Programs - John Denero, Pamela Fox
Stat 88: Probability and Mathematical Statistics in Data Science - Anthony Cyril Donoghue
UGBA 10: Principles of Business - Daniel Mulhern, John Briginshaw, Jonathan Heyne, Judy Hopelain, Omar Romero-Hernandez, Torsor Kotee
Math 1B: Calculus - Alexander Paulin

Summer 2021

Data C8: Foundations of Data Science - Ani Adhikari

Self-Study Courses

UC Berkeley CS 285: Deep Reinforcement Learning - Sergey Levine
MIT 18.06: Linear Algebra - Gilbert Strang