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UW Madison Classes

S+
Operating Systems CS 537
NLP CS 639
S
Data Structures CS 400
Learning theory CS 639
Compilers CS 536
Algos CS 577
A
React/UX CS 571
Machine Org/C CS 354
Intermediate Microecon ECON 301
Combinatorics CS 475
Networks CS 640
Foundation Models CS 639
Discrete CS 240
B
CS 300 OOP
Econometrics ECON 400
AI CS 540
Database Management CS 564
Big Data CS 544
Generative Models STAT 451
Quantum Computing Architecture CS 639
Mobile App Dev CS 407
ML & Statistic Patterns STAT 453
C
Microecon ECON 101
Data & Ethics LIS 461
Data Management CS 574
Computer Engineering CS 252
Databases INFOSYS322
Autonomous CS 639
Virtual Reality CS 639
D
Data Science in Python CS 320
Data Modeling I STAT 240
Data Modelling 2 STAT 340
Human Computer Interaction CS 570
F
Data Analytics ECON570
Created Jan 25, 2026
Ranking the academic gauntlet at UW Madison's computer science, statistics, and economics programs! From foundational courses like CS 240 Discrete Math and ECON 101 Microeconomics to advanced specializations including Foundation Models, Quantum Computing Architecture, and Generative Models, this collection spans the full spectrum of a tech-focused undergraduate and graduate experience.

Students navigate core requirements like Data Structures (CS 400), Operating Systems (CS 537), and Algorithms (CS 577) while exploring cutting-edge topics in NLP, Virtual Reality, and Autonomous Systems. The list also features interdisciplinary gems like Data & Ethics (LIS 461) and practical skills courses in React/UX and Mobile App Development. Whether you're grinding through Compilers or exploring the intersection of machine learning and statistics, these courses shape the Wisconsin computer science journey.

(This description was AI-generated)