Minor in Applied Artificial Intelligence
Applications of Artificial Intelligence (AI) are permeating nearly every aspect of society, from healthcare diagnostics, financial analysis, and transportation optimization to enhancing educational methodologies, driving innovations in entertainment, and shaping more efficient and personalized customer experiences. The Applied AI minor is available to all undergraduate students at Iowa State University. It provides foundational knowledge on the use of AI using low-code or no-code tools available to a wide range of users. A useful analogy is that of being able to drive a car versus produce it or perform work under the hood. The minor also helps students understand the ethical, social, cultural, and economic implications of increased AI use.
The minor in Applied Artificial Intelligence requires the completion of 15 credit hours, including a 6 credit core plus 9 additional credits selected from the approved list.
MINOR
The minor in Applied Artificial Intelligence requires the completion of 15 credit hours, including a 6 credit core plus 9 additional credits selected from the approved list.
| AI 2010X | Introduction to Applied AI | 3 |
| AI 2020X | Ethical Design, Use, and Impact of AI | 3 |
| Choose 9 additional credits from the list below | 9 | |
ANTHR 3160X | Anthropology and Artificial Intelligence | |
| Principles of Artificial Intelligence | ||
| Motion Planning for Robotics and Autonomous Systems | ||
| Computer Mediated Communication | ||
DES 2500 Special | Design Intersections - AI in Art and Design * | |
| Introduction to Data Science | ||
| Applied Data Modeling and Predictive Analysis | ||
ECON 3830X | Economics of Innovation | |
EDUC 4540 | Emerging Topics in Educational Technology - Introduction to AI in Education | |
| Machine learning: A Signal Processing Perspective | ||
| Image Analysis using Machine Learning | ||
| Artificial Intelligence and Writing | ||
| Data Mining | ||
| Big Data Analytics and Optimization | ||
| Communication Technology and Social Change | ||
| Mathematical Principles of Data Science | ||
| Design and Analysis of Cyber-Physical Systems | ||
| Introduction to Business Analytics | ||
| Advanced Business Analytics | ||
MKT 4560X | Digital Marketing Analytics | |
| Philosophy of Technology | ||
| Human Factors in Technology | ||
At least 6 credits must be taken at Iowa State University in courses numbered 3000 or above.
At least 9 credits used for the minor cannot be used to meet any other department, college or university requirement for the baccalaureate degree except to satisfy the total credit requirement for graduation and to meet credit requirements in courses numbered 3000 or above.
Courses taken for a minor may not be taken on a pass-not pass basis.