Robotics and Automation Graduate Academic Certificate
This certificate will produce students that have a deep understanding of the Robotics stack from the lower level motors and controllers through PLC controllers and into higher level cognitive processes including using modern AI techniques. It is designed to encourage research in robotics by M.S. and Ph.D. graduate students.
All required coursework must be completed with a grade of B or better (O-10-b).
| Code | Title | Hours |
|---|---|---|
| CS 5553 | Robotic Systems Engineering I | 3 |
| CS 5554 | Robotic Systems Engineering II | 3 |
| Any two of the following: | 6 | |
| Embedded Systems | ||
| Supervisory Control and Critical Infrastructure Systems | ||
| Real-Time Operating Systems | ||
| Machine Vision | ||
| PLC Programming for Automation | ||
| Artificial Intelligence | ||
| Evolutionary Computation | ||
| Deep Learning | ||
| Machine Learning | ||
| Python for Machine Learning | ||
| Robotic Dynamics, Simulation, and Control | ||
| Total Hours | 12 | |
Courses to total 12 credits for this certificate
Industrial automation in manufacturing is key to improving productivity and maintaining competitiveness both domestically and internationally. This certificate will produce students that have a deep understanding of the Robotics stack from the lower level motors and controllers, through PLC controllers and into higher level cognitive processes including using modern AI techniques. This certificate is also designed to encourage research in robotics by MS and PhD students.
Learning Outcomes
- An ability to understand and apply engineering principles to software, hardware, safety and environmental aspects of robotic systems.
- An ability to understand the entire robotic stack from control software down to the level of embedded systems and motors.
- An ability to incorporate modern software paradigms, involving options such as embedded systems, artificial intelligence and machine learning.
- An ability to understand professional responsibilities and make informed judgements in practices based on legal and ethical principles as they relate to modern robotic systems.