Program Overview
The Department of Computer and Data Sciences offers a minor in artificial intelligence. This minor provides depth and breadth in artificial intelligence to supplement the student's existing major. The minor assumes prior coursework in computer science and mathematics.
Undergraduate Policies
For undergraduate policies and procedures, please review the Undergraduate Academics section of the General Bulletin.
Program Requirements
The minor consists of six courses. No more than two courses can be double counted with the student's major requirements.
Course List | Code | Title | Credit Hours |
| CSDS 340 | Introduction to Machine Learning | 3 |
| CSDS 391 | Introduction to Artificial Intelligence | 3 |
| Current Issues in Artificial Intelligence, For Better or Worse | |
| Responsible AI: Cultivating a Just and Sustainable Socio-technical Future through Data Citizenship | |
| Ethics of Artificial Intelligence and Emerging Technology | |
| Artificial Intelligence for All Disciplines | |
| Fundamentals of Robotics | |
| Numerical Algorithms for Machine Learning | |
| Data Mining for Big Data | |
| Computational Perception | |
| Modern Robot Programming | |
| Mobile Robotics | |
| Machine Learning | |
| Machine Learning on Graphs | |
| Designing High Performant Systems for AI | |
| Causality and Machine Learning | |
| AI in Medical Imaging | |
| Computer Vision | |
| Large Language Models | |
| Robotics I | |
| Artificial Intelligence: Probabilistic Graphical Models | |
| Artificial Intelligence: Sequential Decision Making | |
| Artificial Intelligence: Statistical Natural Language Processing | |
| Algorithmic Robotics | |
| Math in Machine Learning | |
| Mathematics of Data Mining and Pattern Recognition | |
| Total Credit Hours | 18 |
