Arizona State University Ira A. Fulton Schools of Engineering 6 courses 30 total credits
Build AI, machine learning and computer vision skills in ASU's robotics and autonomous systems degree, artificial intelligence concentration, MS program at Fulton Schools.
| Required Core | 6 credits |
| Concentration | 6 credits |
| Electives or Research | 12-18 credits |
| Culminating Experience | 0-6 credits |
| Total Credits | 30 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| MAE 501 or RAS 501 | Linear Algebra in Engineering or Applied Linear Algebra for Engineers | 3 |
| MAE 547 or RAS 545 | Modeling and Control of Robots or Robotic Systems I | 3 |
| Total Required Core | 6 credits | |
Concentration
Electives or Research
Culminating Experience
portfolio (0)
| Code | Course Title | Credits |
|---|---|---|
| CSE 593 | Applied Project | 3 |
| CSE 599 | Thesis | 6 |
| Total Culminating Experience | 0-6 credits | |
Additional Curriculum Information
Students select one of the approved culminating experiences for the concentration. A defense is required for the thesis option. The portfolio is a compilation of two projects that are completed in the required concentration courses. Students write a portfolio report that includes the highlights of the two projects. The applied project is a written report and oral presentation on research related to the student's coursework and interests. Students should see the academic unit for the approved concentration coursework as well as the available elective and research courses. Elective or research coursework must be selected from among the courses listed for the other three concentrations. Additional electives must be graduate courses in science, engineering, mathematics or others approved by the graduate program committee.
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