Artificial Intelligence (AI)

AI 201. Introduction to Artificial Intelligence. 3 Credit Hours.

In today's rapidly evolving technological landscape, understanding artificial intelligence (AI) is more important than ever. AI is transforming industries, driving innovation, and shaping the future of work and society. This course provides students with a foundational understanding of AI, equipping them with the knowledge and skills to navigate and contribute to this dynamic field. This course provides a comprehensive introduction to artificial intelligence (AI), offering students a blend of theoretical foundations, practical applications, and hands-on experience. Topics include the definition and history of AI, data management, foundational AI technologies such as machine learning and deep learning, and key advancements in natural language processing (NLP) and generative AI. Students will learn about cutting-edge AI tools, explore prompt engineering techniques, and work with both low-code and no-code platforms. The course culminates in a project, where students work as a team to create an AI application based on their interest.

AI 202. Artificial Intelligence Applications and Ethics. 3 Credit Hours.

This course provides a comprehensive exploration of artificial intelligence (AI) and its applications in various industries, alongside the ethical considerations that arise from its use. Students will gain strategic insights into how AI can be leveraged to create value, understand the transformative potential of various AI technologies, and critically assess the ethical implications of AI deployment in organizations. Additionally, the program will emphasize how the collective intelligence of people and computers together can solve problems that not long ago were considered impossible. Through case studies, in class discussions, hands-on exercise and guest speaker events, the course bridges the gap between technical concepts and practical applications, empowering students to think critically about deploying AI responsibly and effectively. This course includes a semester long project where students work as a team to explore the opportunities, risks, and applications of AI in a specific industry.
Pre/Corequisites: AI 201 and Sophomore Standing.

AI 201B. Introduction to Artificial Intelligence for Business. 3 Credit Hours.

In today's rapidly evolving technological landscape, understanding artificial intelligence (AI) is more important than ever. AI is transforming industries, driving innovation, and shaping the future of work and society. This course provides students with a foundational understanding of AI, equipping them with the knowledge and skills to navigate and contribute to this dynamic field. This course is intended for business students and provides a comprehensive introduction to artificial intelligence (AI), offering students a blend of theoretical foundations, practical applications, and hands-on experience. Topics include the definition and history of AI, data management, foundational AI technologies such as machine learning and deep learning, and key advancements in natural language processing (NLP) and generative AI. Students will learn about cutting-edge AI tools, explore prompt engineering techniques, and work with both low-code and no-code platforms. The context for these topics will be business-focused, including applications in the business domain.
Session Cycle: Every Semester.

AI 301. Data Management and Visual Analytics. 3 Credit Hours.

Data is the fuel that powers every AI system. This course introduces students to the essential concepts, tools, and practices needed to prepare, analyze and communicate data effectively for AI-driven applications. Students will learn how data is stored, structured, and queried in relational databases, with an emphasis on writing efficient SQL for data extraction, transformation, and analysis. In addition, students will develop the skills to translate data into clear, compelling narratives using various data visualization tools. They will learn the principles of visual perception, effective dashboard design, and storytelling techniques that support analytical insights and decision-making. By the end of the course, students will be able to prepare and analyze data to support decision making and create visualizations that make complex information intuitive, actionable, and meaningful.
Prerequisites: AI 201 or AI 201B, and AI 202.

AI 310. AI Application Development. 3 Credit Hours.

This course introduces students to the design and development of artificial intelligence (AI) applications using no-code and low-code tools. The course progresses from foundational machine learning concepts to applications powered by generative AI. Students will develop a variety of real-world AI applications, including predictive models, classification systems, intelligent chatbots, and automated workflows. Emphasis is placed on hands-on experimentation, real-world use cases, and understanding how AI can enhance decision-making and innovation across different industries. Students will complete multiple applied AI projects throughout the semester.
Prerequisites: AI 201 or AI 201B, and AI 202.

AI 391. Applied AI Internship. 3 Credit Hours.

Students in this course engage in supervised employment within an area of artificial intelligence requiring applications of AI to the work environment. Students must work at least ten hours per week on the job, correspond periodically with a supervising faculty member, and prepare a substantive report on the work experience and on the work experience and the studies involved. Approval of the faculty instructor is required.
Prerequisites: AI 301, AI 310, Sophomore Standing and approval of faculty instructor.