AI Literacy Minor

The AI LIteracty minor has the following learning outcomes:

1. Learners will apply core computer science principles—including abstraction, algorithmic thinking, and decomposition—to understand and design AI-driven solutions.
2. Learners will evaluate ethical considerations in AI development and deployment, focusing on fairness, responsibility, and the assessment of benefits and risks.
3. Learners will use design thinking methodologies—empathy, problem formulation, ideation, and iteration—to analyze how AI technologies are developed to address challenges.
4. Learners will interpret and analyze data using data science techniques, recognizing the role of inference, bias, and data analysis in shaping AI outcomes.
5. Learners will demonstrate responsible digital literacy practices by ensuring online safety, privacy literacy, copyright awareness, and communicating effectively in digital environments.
6. Learners will critically engage with media through AI tools by applying skills in information search, content creation, and evaluation of digital content (media literacy).
7. Learners will explore the environmental and geopolitical impacts of AI development and deployment.

These learning outcomes will be satisfied by students who successfully complete with a grade of C or higher each of the core courses listed below and 8 credits worth of elective courses.