Course Description

An introduction to artificial intelligence (AI) literacy for undergraduate students preparing for careers in public health and related health professions. The course develops conceptual understanding of machine learning, deep learning, and large language models; examines current AI applications and evidence in health.

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Athena Title

AI Literacy for Hlth

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Grading System

A - F (Traditional)

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Student learning Outcomes

• Students will be able to describe the history of Artificial Intelligence and its integration into public health, medicine, and related areas.
• Students will be able to explain current implementations of AI in public health and other health sciences, citing real-world examples from research and practice.
• Students will be able to interact with state-of-the-art LLMs for basic applications.
• Students will be able to explain ethical considerations when using AI in health.

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Topical Outline

• A story of thinking machines
• AI early applications in health
• Current state of AI in public health and other health sciences
• Successfully interact with state-of-the-art LLMs

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Syllabus

Select Faculty / Instructor to download syllabus:   Ge, Young

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Public CV

Select a file to download:   Ge, Young

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