Program Plan: MS in Machine Learning Engineering
Cores Courses (4 courses, 12 credits)
| Course |
Title |
Prereq |
| ECE 610 |
Machine Learning & Artificial Intelligence |
ECES 521 |
| ECE 612 |
Applied Machine Learning Engineering |
|
| ECE 687 |
Pattern Recognition |
|
| ECES 521 |
Probability & Random Variables |
|
Aligned Mathematical Theory (choose 2 courses, 6 credits)
| Course |
Title |
Prereq |
| ECES 522 |
Random Process & Spectral Analysis |
ECES 521 |
| ECES 523 |
Detection & Estimation Theory |
ECES 521 |
| ECES 811 |
Optimization Methods for Engineering Design |
|
| ECET 602 |
Information Theory and Coding |
ECES 521 |
| MATH 504 |
Linear Algebra & Matrix Analysis |
|
| MATH 510 |
Applied Probability and Statistics I |
|
Applications (choose 1 course, 3 credits)
| Course |
Title |
Prereq |
| ECE 686 |
Cell & Tissue Image Analysis |
|
| ECES 620 |
Multimedia Forensics and Security |
ECES 521 |
| ECES 641 |
Bioinformatics |
|
| ECES 650 |
Statistical Analysis of Genomics |
|
| ECES 660 |
Machine Listening and Music IR |
ECES 631 |
Signal Processing (choose 1 course, 3 credits)
| Course |
Title |
Prereq |
| ECES 631 |
Fundamentals of Deterministic Digital Signal Processing |
|
| ECES 681 |
Fundamentals of Computer Vision |
|
| ECES 682 |
Fundamentals of Image Processing |
ECES 631 |
Engineering Electives (choose 3 courses [9 credits] from within the College of Engineering)
Transformational Electives (choose 2 elective courses [6 credits] that promote the development of leadership, communication, and ethics)
| Course |
Title |
Prereq |
| COM 610 |
Theories of Communication and Persuasion |
|
| EDGI 510 |
Culture, Society & Education in Comp. Perspective |
|
| EDGI 522 |
Education for Global Citizenship, Sustainability, and Social Justice (formerly EDGI 512) |
|
Mastery
- Thesis Option: A minimum of two terms of laboratory-based research (6 credits) that leads to a publicly defended MS thesis. Students will be advised by a faculty member, and when applicable, a representative of industry or government sponsor.
- Non-thesis Option: In lieu of research and thesis, students will complete six credits of additional coursework in Aligned Mathematical Theory, Applications, or Signal Processing. Graduate Co-op is encouraged for non-thesis students, but is not required.