INFO 1720

Introduction to Applied AI

Course Description

Course information provided by the 2026-2027 Catalog.

This course teaches students from any background how AI works and how to use it effectively. Students will learn how modern AI systems work, demystifying the large language models behind chatbots, image generators, and more. They will also develop a critical lens for evaluating AI's societal impact, examining issues ranging from privacy and creative authorship to bias and labor. Finally, the course will teach students how to use AI effectively with hands-on activities and projects. Students will learn to responsibly integrate AI into their studying and research workflows, and build custom software tools using AI-powered coding agents. By the end of the course, they will be well-equipped to engage with AI confidently, critically, and responsibly.

Distribution Requirements (DLG-AG, MQL-AG), (SDS-AS)

Last 4 Terms Offered (None)

Learning Outcomes

• Identify how modern AI systems work.
• Describe the large language models behind chatbots, image generators, and other AI tools.
• Evaluate and critique AI's societal impact, assessing issues ranging from privacy and creative authorship to bias and labor.
• Build custom software tools using AI-powered coding agents.
• Implement AI effectively while responsibly integrating AI into their studying and research workflows.

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