Course Information
Overview of Course Information
- The following courses comprise the Artificial Intelligence (AI) certificate.
Course Descriptions
Applications Track - 15 credits(Not open to undergraduate students in the CEECS department.) |
|
| Core Courses - 9 credits | |
| COP 1034C - Computer Programming and Data Literacy for Everyone |
3 or |
| COP 2034 - Introduction to Programming in Python | 3 |
| CAP 2603 - Applications of Artificial Intelligence | 3 |
| CAP 2751 - Tools for Data Science | 3 or |
| CAP 4612 - Applied Machine Learning and Data Mining | 3 |
| Elective Courses - 6 credits - Select two courses from the Electives Table | |
Development Track - 15 credits |
|
| Core Courses - 9 credits | |
| COP 3410 - Data Structures and Algorithm Analysis with Python | 3 or |
| COP 3530 - Data Structures and Algorithm Analysis | 3 |
| CAP 4630 - Introduction to Artificial Intelligence | 3 |
| One of the following three courses | |
| CAP 4613 - Introduction to Deep Learning | 3 |
| CAP 4770 - Introduction to Data Mining and Machine Learning | 3 |
| CAP 4773 - Introduction to Data Science and Analytics | 3 |
| Elective Courses - 6 credits - Select two courses from the Electives Table | |
Program Sheets
- Additional details about program courses can be found in the following document:
Technology Tools Used
- Interested in learning more about the tools/software/programs we use?
- Check out our Course Tool List Document to view a list of all the tools/software/programs we use in our courses