Course Description
Introduces foundations of Artificial Intelligence (AI), more specifically, AI Literacy, with a focus on Generative AI (GenAI). Students will explore the history, concepts, tools, ethics, policies, and real-world applications of AI. Emphasizes AI literacy, critical analysis, tool demonstrations, ethical safeguard, and hands-on projects.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Define and critically evaluate concepts of AI and GenAI.
- Demonstrate the use of GenAI tools in different disciplinary contexts.
- Identify strengths, limitations, biases, and safeguards in AI-generated outputs.
- Discuss ethical, legal, and policy issues surrounding AI adoption.
- Design a mini-project applying GenAI to a real-world problem or professional context.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| My AI Autobiography | 7 points |
| Differences in AI Tools (in-class) | 5 points |
| Cognitive Offloading (in-class) | 5 points |
| Fact-Checking AI Outputs (in-class) | 5 points |
| Ethical Dilemma Analysis (group project) | 20 points |
| Final Project Peer Feedback | 5 points |
| Final Project | 35 points |
| My AI Autobiography Reflection | 8 points |
| Weekly Exit Tickets | 10 points |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
No course materials are required.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.