Minor in Artificial Intelligence and Learning
About the Minor
This minor explores the foundation and application of artificial intelligence and machine learning. It is designed to be an advanced minor with a focus on deep understanding of the underlying mathematics and algorithms used in AI. This minor will utilize aspects of computer science, engineering, mathematics, and data science.
All pre-requisites of all classes need to be fulfilled. Courses in this minor require various 100- and 200-level courses as pre-requisites, which do not count toward the 24 credits of the minor itself. This requires 6 earlier 3-credit courses to satisfy pre-requisites of the two required courses. Some elective choices may have additional requirements. A grade of C or better must be earned for each course in this minor for it to be counted.
Admission Requirements
The Artificial Intelligence and Learning minor is available to all University students in good standing.
Program Requirements
| Required Courses | ||
| CS 380 | Artificial Intelligence | 3.0 |
| CS 383 | Machine Learning | 3.0 |
| Elective Courses | 18.0 | |
| At least 3 elective courses must be from the computer science department (CS, DSCI, INFO). | ||
| Biomedical Imaging Systems I: Images | ||
| Neuroengineering I: Neural Signals | ||
| Evolutionary Computing | ||
| Game AI Development | ||
| Computational Photography | ||
| Computational Network Neuroscience | ||
| Advanced Artificial Intelligence | ||
| Robust Machine Learning | ||
| Topics in Artificial Intelligence | ||
| Independent Study in Computer Science * | ||
| Recommender Systems | ||
| Applied Deep Learning | ||
| Statistical Analysis of Engineering Systems | ||
| Machine Learning Engineering Practicum | ||
| Probability and Data Analytics for Engineers | ||
| Pattern Recognition | ||
| Applied Digital Signal Processing | ||
| Bioinformatics | ||
| Information Retrieval Systems | ||
| Exploratory Data Analytics | ||
| Data Mining Applications | ||
| Advanced Data Analytics | ||
| Social Media Data Analysis | ||
| Independent Study in INFO * | ||
| Introduction to Optimization Theory | ||
| Total Credits | 24.0 | |
- *
Departmental permission needed. Independent Study topic must be related to Artificial Intelligence.
Restrictions: CS and SE students may not count more than 9.0 credits of their required CCI electives towards this minor. CS students pursuing this minor may not pursue the Artificial Intelligence and Machine Learning concentration in the CS degree.
Additional Information
For more information, please visit the College of Computing & Informatics website.