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Apr 06, 2026
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CS 160 - Generative AI for Everyone
Units: 3 ; Breadth Area: GE-4
Students will explore how generative AI works, how it is used across industries, and its implications for creativity, society, ethics, and the future of work through lectures, hands-on exercises, and discussions. This course does not require prior technical background.
Breadth Area(s) Satisfied: GE-4 - Lower Division Social and Behavioral Sciences
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Course Typically Offered: Fall & Spring
Student Learning Outcomes - Upon successful completion of this course students will be able to:
- Explain the foundations of generative AI and how it works, including key concepts from the social and behavioral sciences.
- Describe generative AI tools (text, image, audio, video) responsibly and creatively while applying information literacy and research methods.
- Critically analyze the social, cultural, ethical, and political impacts of generative AI, including its relationship to power, identity, and structures of oppression.
- Apply generative AI to explore the histories, experiences, and resilience of historically oppressed U.S. cultural groups, with attention to intersections of race, gender, and other identities.
- Collaborate with peers on projects involving generative AI to evaluate challenges to equity and propose ways individuals and groups can contribute to social justice.
GE-4. Lower-division Social and Behavioral Sciences Electives Learning Outcomes
- Explain how social, political, and economic institutions and/or principles intersect with each other.
- Describe how people produce, resist, and/or transform social, political, and economic institutions/principles.
- Investigate contemporary and/or historical events/issues from a social science perspective.
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