Coursework
* = graduate; ^ = unofficial audit
Mathematics
A subset of courses that provide some liberty of thought.
- MATH 5010 | ^*Foundations of Statistical Theory and Probability — H. Wang, Spring 2026
- MATH 7243 | *Machine Learning & Statistical Learning Theory 1 — H. Wang, Spring 2026
- MATH 3527 | Number Theory 1 — E. Dummit, Spring 2026
- MATH 4992 | Directed Study: Differential Geometry — S. Jekel, Fall 2025
- MATH 7381 | *Algebraic Combinatorics — G. Lippner, Spring 2025
- MATH 4575 | Introduction to Cryptography — O. Veliche, Spring 2025
- MATH 4581 | Statistics & Stochastic Processes — H. Sadaka, Spring 2025
- MATH 4571 | ^Advanced Linear Algebra — E. Dummit, Spring 2025
- MATH 5101 | *Analysis 1: Functions of One Variable — P. Topalov, Fall 2024
- MATH 3545 | Introduction to Graph Theory — G. Lippner, Fall 2024
- MATH 3275 | Advanced Group Theory — A. Sadegh, Spring 2024
- MATH 1365 | Introduction to Mathematical Reasoning — B. Neale, Spring 2024
- MATH 2331 | Linear Algebra — J. Esole, Fall 2023
- MATH E-21a | Multivariable Calculus — R. Winters, Fall 2022
Computer Science
"Enablers", spaces to learn & refine technical skills.
- CS 2800 | Logic & Computation — F. Vesely, Spring 2026
- CS 3500 | Object-Oriented Design — A. Shesh, Summer 2025
- CS 3800 | Theory of Computation — W. Schnyder, Spring 2025
- CS 5800 | *Algorithms — V. Pavlu, Summer 2024
- CS 2510 | Fundamentals of Computer Science II — J. Park, Spring 2024
- CS 2500 | Fundamentals of Computer Science I — L. Razzaq, Fall 2023
- CS 1800 | Accelerated Discrete Structures — V. Pavlu, Fall 2023
- CSCI S-80 | Introduction to AI with Python — B. Yu, Summer 2021
- CSCI E-50 | Introduction to Computer Science — D. Malan, Spring 2021
Miscellaneous
Notable courses that did not fall in the above buckets.
- PHIL 1145 | Tech & Human Values — B. Hanley, Fall 2024
- THTR 1125 | Improvisation — G. Allen, Spring 2024
- HONR 1310 | Angels & Demons — G. Rabrenovic, Fall 2023