Course Notes
Archived notes from undergraduate (UW–Madison) and AP courses, written 2017–2019. Not actively maintained.
Computer Science
Mathematics
- Math 240 – Introduction to Discrete Mathematics
- Math 375 – Topics in Multivariable Calculus & Linear Algebra
- Math 431 – Introduction to the Theory of Probability
- Math 514 – Numerical Analysis
- Math 521 – Analysis I
- Math 541 – Modern Algebra
- Math 632 – Introduction to Stochastic Processes
- Linear Algebra
- Abstract Algebra
- Category Theory
AP Courses
📚 Courses Taken at UW–Madison
Undergraduate (Fall 2017 – Spring 2020)
- Fall 2017: CS 300 (Programming II), CS 352 (Digital System Fundamentals), Math 375 (Multi-Var Calc & Linear Alg), Math 431 (Probability)
- Spring 2018: CS 252 (Intro to Computer Engineering), CS 400 (Programming III), Math 240 (Discrete Math), Math 521 (Analysis), Math 541 (Modern Algebra)
- Fall 2018: CS 354 (Machine Organization), CS 514 (Numerical Analysis), CS 540 (Intro to AI), CS 577 (Algorithms), Math 632 (Stochastic Processes)
- Spring 2019: CS 536 (Compiler), CS 537 (OS), CS 564 (Database), CS 639 (Software Security)
- Fall 2019: CS 576 (Bioinformatics), CS 640 (Network), CS 744 (Big Data Systems)
- Spring 2020: CS 759 (High-Performance Computing)
Ph.D. (Fall 2020 – )
- Fall 2020: CS 703 (Program Verification & Synthesis), CS 736 (Advanced OS), CS 764 (Advanced DB), CS 838 (MLOS Seminar)
- Spring 2021: CS 524 (Intro to Optimization), CS 739 (Distributed Systems), CS 760 (Machine Learning)
- Fall 2021: CS 839 (Blockchains and Decentralized Applications), CS 839 (Persistent Memory)
- Spring 2022: CS 740 (Advanced Network), CS 839 (Machine Learning System)
- Fall 2022: CS 839 (Image Synthesis), ECE 439 (Introduction to Robotics)
- Spring 2023: CS 761 (Mathematical Machine Learning)