MS in Computer Engineering

Mathematical Foundations Requirement

Students pursuing an MS in Computer Engineering must also include 6 credits of coursework (within, not in addition to, the 45 total required credits) that emphasizes the development of mathematical skills that are required in the area of computer engineering. A list of courses that meet this criterion can be found below. Courses taken to fulfill this requirement that are taken outside of the Department of Electrical and Computer Engineering will automatically be counted as elective courses.

CS 525: Theory of Computation
CS 567: Applied Symbolic Computation
CS 583: Introduction to Computer Vision
CS 613: Machine Learning
CS 621: Approximation Algorithms
CS 623: Computational Geometry
ECES 511: Fundamentals of Systems I
ECES 512: Fundamentals of Systems II
ECES 513: Fundamentals of Systems III
ECES 521: Probability & Random Variables
ECES 522: Random Processes & Spectral Analysis
ECES 523: Detection & Estimation Theory
ECES 811: Optimization Methods for Engineering Design
ECET 602: Information Theory and Coding
OPR 624: Advanced Mathematical Programming
OPR 992: Applied Math Programming
Any MATH course at the 500-level or above