Arizona State University Ira A. Fulton Schools of Engineering 13 courses 30 total credits
Build machine learning and computer vision skills and how to use them in civil and environmental engineering in ASU's AI engineering degree, MS, with a concentration in sustainable engineering and built environment.
| Required Core | 3 credits |
| AI Engineering Foundations | 3 credits |
| AI Systems and Tools | 3 credits |
| Data Collection and Evaluation for AI Systems | 3 credits |
| Concentration | 9 credits |
| Total Credits | 30 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| FSE 561 | Artificial Intelligence Ethics and Social Responsibility | 3 |
| Total Required Core | 3 credits | |
AI Engineering Foundations
AI Systems and Tools
Data Collection and Evaluation for AI Systems
Concentration
| Code | Course Title | Credits |
|---|---|---|
| CEE 501 | Artificial Intelligence for Civil Engineers | 3 |
| CEE 532 | Developing Software for Engineering Applications | 3 |
| CEE 548 | Advanced Environmental Analysis | 3 |
| CEE 578 | Activity-Travel Behavior Modeling | 3 |
| CEE 579 | Transportation Data Collection and Analysis Methods | 3 |
| EVE 568 | Environmental Risk Assessment | 3 |
| Total Concentration | 9 credits | |
Culminating Experience (0, 3 or 6 credit hours)
portfolio (0)
| Code | Course Title | Credits |
|---|---|---|
| CEE 593 | Applied Project | 3 |
| CON 593 | Applied Project | 3 |
| EVE 593 | Applied Project | 3 |
| CEE 599 | Thesis | 6 |
| CON 599 | Thesis | 6 |
| EVE 599 | Thesis | 6 |
Additional Curriculum Information
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