Minor in Applied Artificial Intelligence
The Minor in Applied AI program is designed to equip students from any major with the knowledge, skills, and ethical understanding necessary to apply AI and technology innovatively and responsibly in their future careers. Through a comprehensive curriculum that includes courses in AI foundations and applications, high-level computer programming, entrepreneurship, and electives in cutting-edge technologies, students will gain a multidisciplinary perspective on AI's role in different areas of life. This program not only introduces fundamental technical skills but also emphasizes critical thinking, ethical considerations, and entrepreneurial mindset, preparing graduates to become practitioners and innovators in an AI-driven world.
Program Learning Outcomes
- Foundational Knowledge and Application of AI:
Graduates will demonstrate comprehensive understanding and application of artificial intelligence principles, including generative AI technologies, across various professional fields, leveraging AI to solve complex problems and innovate within industries such as healthcare, marketing, and education. - Proficiency in Computer Programming for AI Development:
Graduates will exhibit proficiency in computer programming, applying their skills to develop, analyze, and deploy AI-driven solutions, emphasizing the role of coding as a foundational tool in AI integration and development. - Entrepreneurial Skills in Technology Ventures:
Graduates will develop entrepreneurial skills, preparing them to launch, manage, and grow innovative tech ventures. They will learn to apply AI and technology solutions in a business context, focusing on creating value, driving innovation, and understanding market needs. - Critical Thinking and Ethical Consideration in AI:
Graduates will critically evaluate the ethical, social, and legal implications of AI technologies in society. They will make informed decisions regarding the responsible use of AI, advocating for ethical practices in technology development and application. - Adaptability and Continuous Learning in Emerging Technologies:
Graduates will demonstrate adaptability and a commitment to continuous learning in the face of rapidly evolving AI and technology landscapes. They will be prepared to explore and integrate emerging technologies, such as web systems, robotics, or design thinking, into their professional practices and lifelong learning endeavors.
| Course Code | Course Title | Credit Hours | Prerequisites |
|---|---|---|---|
| CSC202 | AI Foundations: Applications and Implications | 3 | CSC101 |
| TBD | AI Development: Integration into Business and Society | 3 | ITE202 (for IT/SE/CS majors) or AI Foundation (for other majors) |
| ITE 303 OR ITS301 OR TBD | Introduction to Programming (Java) OR Creative Coding and Computing OR Introduction to Programming (Python) | 3 | ITE 202 & MTH235
ITE202
TBD |
| MGT 402 | Entrepreneurship | 3 | 75 credits |
ITS340 OR ITS310 OR ENT302 | Rapid Online Presence OR Physical Computing and Robotics OR Creativity and Innovation |
3 | ITE202 or ITS301
ITS301 or ITE303
60 credits |
