Minor Artificial Intelligence-Computational Foundations Minor
The minor in Artificial Intelligence-Computational Foundations advances students' theoretical and practical skills, focusing on key concepts such as machine learning, data-driven reasoning, intelligent systems, and computational problem-solving. By completing this minor, students will develop a robust understanding of key AI principles and gain hands-on experience with the cutting-edge technologies in AI.
Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | ||
| CS 422 | Introduction to Machine Learning | 3 |
| CS 480 | Introduction to Artificial Intelligence | 3 |
| Select two of the following: | 6 | |
| Data Structures and Algorithms | ||
| Computational Methods and Software | ||
| Data Analytics for Cybersecurity | ||
| Trustworthy Health Analytics | ||
| Total Credit Hours | 12 | |
Prerequisites may be required to complete this minor.
Students must have a minimum overall cumulative grade point average of 2.00 in all courses specified as a requirement for the minor exclusive of prerequisite courses and complete a minimum of six hours in upper-level courses in the minor through courses offered by Old Dominion University.