Machine Learning and Algorithms

Basic Courses: Choose 3 courses (9 total credits)
EECE 5650 Introduction to Algorithms
EECE 6810 Algorithm Analysis and Applications
EECE 6822 Machine Learning
One selected Math Course (5XXX or 6XXX)
Additional Required Courses
EECE 6952 Department Colloquium (0 credit)
Master's Thesis/Doctoral Dissertation
Broader Core Courses: Choose 3 courses (9 total credits)
EECE 5690 Developments in Computer Software (e.g., Deep Learning Software or other topics)
EECE 5850 Introduction to Intelligent Systems
EECE 5860 Introduction to Neural Networks and Fuzzy Systems
EECE 5870 Evolutionary Computation
EECE 6830 Pattern Recognition
EECE 6840 Neural Networks and Neural Computing
EECE 6932  Advanced Topics in Electrical and Computer Engineering (topics should be related to the field, as approved by advisor or DGS)
One selected Math Course (5XXX or 6XXX)
General Electives: A minimum of 2 courses (at least 6 total credits)
Selected Graduate level courses in Math, Biomedical Engineering, Computer Science or EECE as approved by advisor.