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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Arizona State University Ira A. Fulton Schools of Engineering 5 courses 30 total credits
ASU is no longer accepting new students to this program. Interested students should consider the Computer Science (Artificial Intelligence), MS or one of the other Artificial Intelligence Engineering, MS concentrations. Build machine learning, computer vision and AI systems skills to apply in computing sciences in ASU's artificial intelligence engineering degree, MS, with a concentration in computing sciences.
| 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 |
|---|---|---|
| CSE 571 | Artificial Intelligence | 3 |
| CSE 500 | level courses | 6 |
| Total Concentration | 9 credits | |
Culminating Experience (0, 3 or 6 credit hours)
portfolio (0)
| Code | Course Title | Credits |
|---|---|---|
| CSE 593 | Applied Project | 3 |
| CSE 599 | Thesis | 6 |
Additional Curriculum Information
Students should see their program advisor for a complete list of approved course options.
Click a course code or title to read the full course description.
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