Coursework
Relevant computer science, mathematics, and statistics courses
Computer Science
CS 760
Machine Learning (G)
CS 639
Game Theory and Learning
CS 638
Tech Entrepreneurship Seminar
CS 577
Introduction to Algorithms
CS 566
Introduction to Computer Vision
CS 564
Database Management Systems
CS 544
Introduction to Big Data Systems
CS 532
Matrix Methods in Machine Learning
CS 525
Linear Optimization
CS 400
Programming III
CS 354
Machine Organization and Programming
CS 300
Programming II
CS 252
Introduction to Computer Engineering
CS 240
Introduction to Discrete Mathematics
Math & Statistics
MATH 632
Introduction to Stochastic Processes (H)
MATH 521
Analysis I (H)
STAT 451
Introduction to Machine Learning and Statistical Pattern Classification
STAT 436
Statistical Data Visualization
STAT 431
Introduction to the Theory of Probability
MATH 421
Theory of Single Variable Calculus
MATH 340
Elementary Matrix and Linear Algebra
STAT 305
R for Statistics III
STAT 304
R for Statistics II
STAT 303
R for Statistics I
(G)
Graduate Course
(H)
Honors Course