Course Notes

Fall 2022: CS 162 Midterm 2

My midterm 2 notes for CS 162, Operating Systems, taught by Natacha Crooks. Hardest class I’ve taken at Berkeley, proceed with caution! But hopefully these notes can help :)

Fall 2022: CS 162 Midterm 1

My midterm 1 notes for CS 162, Operating Systems, taught by Natacha Crooks. Hardest class I’ve taken at Berkeley, proceed with caution! But hopefully these notes can help :)

My final notes for Stat 20, Intro to Probability and Statistics, taught by Andrew Bray. Great class and learned a lot of R! Not sure if I’ll ever use it again, but liked the class and structured so well.

Spring 2022: Stat 20 Midterm

My midterm notes for Stat 20, Intro to Probability and Statistics, taught by Andrew Bray.

Winter 2021: Machine Learning Scikit/Tensorflow

My notes for Hands-On Machine Learning with Scikit and Tensorflow, written by Aurélien Geron. Highly recommend! Ranked #1 Best Seller in NLP books and goes through the various types of machine learning types and tools.

Fall 2021: CS 70 Final

My final notes for CS 70, Discrete Mathematics and Probability Theory, taught by John Wawrzynek and Nicholas Weaver. But if you want good notes, take a look at Rachel Lawrence’s notes (aka the best GSI ever).

Fall 2021: CS 61C Midterm

My final notes for CS 61C, Great Ideas in Computer Archictecture, taught by John Wawrzynek and Nicholas Weaver. This covers topics from Number Representation up to CALL.

Fall 2021: Chinese 1A

My midterm notes for Chinese 1A, taught by 张老师 (Lihua Zhang), aka the sweetest professor! This course covers topics such as greetings, hobbies, date/time, food, travel, and more.

Fall 2021: CS 70 Midterm

My midterm notes for CS 70, Discrete Mathematics and Probability Theory, taught by Babak Ayazifar and Satish Rao. This covers course topics up to counting.

Fall 2021: CS 188 Midterm

My midterm notes for CS 188, Introduction to Artificial Intelligence, taught by Mesut Yang and Carl Qi. This course covers topics such as search algorithms, exploration functions, multi-agent search, reinforcement learning, and machine learning.

Spring 2021: EECS 16A Final Cheat Sheet

My Final notes for EECS 16A, Desiging Information Devices and Systems, taught by Laura Waller. This course covers topics such as linear algebra, signal processing, system control, and circuit design.

Spring 2021: EECS 16A Midterm 2 Cheat Sheet

My Final notes for EECS 16A, Desiging Information Devices and Systems, taught by Laura Waller. This course covers topics from circuit analysis to op amps and circuit design.

Spring 2021: EECS 16A Midterm 1 Cheat Sheet

My Final notes for EECS 16A, Desiging Information Devices and Systems, taught by Laura Waller. This cheat sheet covers topics up to eigenvalues and eigenspaces.