Students will complete four courses (at least 12 credit hours and no more than 15 credit hours), at least two of which must be core courses selected from the Core Courses list below. No more than two of the four courses can be from the same department.
Core Courses
| Course Number | Course Title | Syllabus |
|---|---|---|
| ASE 381P.9 | System Theory: Human-Centered Robotics | Link |
| CRP 386 | Smart City | Link |
| CS 393R | Autonomous Robots | Link |
| CS 395T.9 | Introduction to Ethical AI and Robotics | Link |
| INF 385T.12 | Ethics of AI | Link |
| INF 385T.13 | Human-AI Interaction | Link |
| ECE 381V | Fair Transparent Machine Learning | Link |
Additional Courses
| Course Number | Course Title | Syllabus |
|---|---|---|
| ASE 381P.10 | System Theory: Learning for Dynamics and Control | Link |
| ASE 397R | Research in Aerospace Engineering | Link |
| CRP 395C | Smart City Practicum Planning Studio | Link |
| CRP 396 | Independent Research in Community and Regional Planning | Link |
| C S 396 | Research Practice and Experience | Link |
| INF 391D.7 | Doctoral Inquiry in Information Studies: Directed Research | Link |
| INF 385T | Virtual Environments | Link |
| INF 385T | Datafication | Link |
| CS394R | Reinforcement Learning: Theory and Practice | Link |
| J393S | Technology and Culture | Coming Soon! |