Minor in Artificial Intelligence and Machine Learning
About the Minor
Admission Requirements
The Artificial Intelligence and Machine Learning minor is available to all University students in good standing, with the exception of those majoring in Artificial Intelligence and Machine Learning.
Students are required to declare a major before declaring a minor. Students admitted directly into a specific major at the time of matriculation may declare a minor beginning in their second semester. All requirements for the minor must be completed either concurrently with or prior to the completion of the primary major requirements. This ensures that students fulfill the expectations of their primary field of study while completing any additional areas of academic specialization.
Minor Requirements
| Required Courses | ||
| CS 1030 | Computer Science I | 3.0 |
| or CS 1020 | Introduction to Computer Programming | |
| CS 1031 | Computer Science II | 3.0 |
| CS 2110 | Data Structures | 3.0 |
| or MATH 2402 | Discrete Mathematics | |
| CS 3510 | Principles of Artificial Intelligence | 3.0 |
| Select two (2) of the following courses, including at least one (1) from CS (Computer Science): | 6.0 | |
| Fundamental Machine Learning | ||
| Reinforcement Learning | ||
| Responsible AI | ||
| Game AI Development | ||
| Neurosymbolic Collective Intelligence | ||
| Embodied AI | ||
| Foundations of Deep Learning | ||
| Computer Vision | ||
| Modern AI Application Development | ||
| Computational Network Neuroscience | ||
| Applied Machine Learning Engineering | ||
| Control Systems | ||
| Digital Signal Processing | ||
| Medical Robotics I | ||
| Pattern Recognition | ||
| Computing and Control | ||
| Applied Robotics Lab | ||
| Decision Making for Robotics | ||
| Bioinformatics | ||
| Statistical Analysis of Genomics | ||
| Optimal Control | ||
| Principles of Optimization and Inference | ||
| Applied Machine Learning | ||
| Cloud Computing and Scalable Processing | ||
| Applied Deep Learning | ||
| Deep Learning Architectures | ||
| Medical Robotics II | ||
| Cell and Tissue Image Analysis | ||
| Social Media Data Analysis | ||
| User Modeling and Recommender Systems | ||
| Intelligent Search and Language Models | ||
| Modeling Natural Language | ||
| Total Credits | 18.0 | |
Note: Students may share at most 9 credits between this minor and any other major or minor. For each additional course above that counts towards another requirement, students must replace that course in the minor requirements with an additional course from the list of electives.
Additional Information
For more information about this program, please contact the School of Computer and Information Sciences