Deep Learning and Artificial Intelligence Minor
This minor provides a cohesive program in the fundamentals of software development for artificial intelligence (AI) and machine learning (ML) applications, including Deep Learning and Generative AI concepts.
Program Requirements
(18 semester hours)
Note: A minimum of nine (9) unique credit hours are required for this program that are not used to fulfill the requirements of a major, co-major or other minor.
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | ||
| CSE 174 | Fundamentals of Problem Solving and Programming | 3 |
| CSE 232 | Foundations of Artificial Intelligence and Machine Learning | 3 |
| or CSE 274 | Data Abstraction and Data Structures | |
| CSE 432 | Machine Learning | 3 |
| Electives | 9 | |
| Technology, Ethics, and Global Society | ||
| Introduction to Knowledge Representation | ||
| Deep Learning | ||
| Generative Artificial Intelligence | ||
| Applied Knowledge Representation | ||
| Introduction to Artificial Intelligence | ||
| Image Processing & Computer Vision | ||
| Total Credit Hours | 18 | |
There are some implied prereqs:
-
Many electives require MTH 231 (Discrete Math).
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Some of the electives may have additional prerequisites: CSE 274 requires CSE 271, however students can take CSE 232 in order to avoid that pre-req.