TITLE: Foundations in Applied Artificial Intelligence
INSTRUCTORS: Dr. Milan Parmar, Teaching Associate Professor, College of Emerging and Collaborative Studies
CREDIT HOURS: 3
DESCRIPTION:
Artificial Intelligence (AI) is reshaping the landscape of science, engineering, and society. This course introduces students to applied AI tools, methods, and ethical considerations through hands-on, project based learning. Students will explore how AI is used to interpret data, automate processes, and enhance decision-making in real-world applications, including manufacturing, cybersecurity, health
care, transportation, and natural language interfaces.
Key areas covered include machine learning, computer vision, and natural language processing. Students will gain practical experience working with AI toolkits and frameworks such as TensorFlow and OpenCV, as well as ethical and societal implications surrounding algorithmic bias, privacy, and
workforce impacts.
Students will engage in lab-based projects, reflection writing, and in-class activities through the Innovation Lab in the College of Emerging and Collaborative Studies.
STUDENT LEARNING OUTCOMES
Upon successful completion of this course, students will be able to:
• Identify and describe core concepts and techniques of applied artificial intelligence.
• Apply basic machine learning models to solve practical problems.
• Evaluate AI systems in terms of performance, ethics, and social impact.
• Use industry-standard software tools to develop AI-driven prototypes or solutions.
• Communicate the implications of AI technologies across industry sectors.
PROFICIENCY EXAMINATION
Foundations in Applied AI is project-based course, with each learning outcome implemented through
applied labs, coding challenges, and team-based presentations. All students will complete a final
integrative project using real or simulated data to design an AI solution.
Grading Breakdown:
• Applied AI Labs and Assignments: 40%
• Written Reflections and Participation: 20%
• Ethics and Societal Impact Case Study: 10%
• Final Project (including presentation): 30%