INFO 4940
Last Updated
- Schedule of Classes - January 11, 2026 7:09PM EST
Classes
INFO 4940
Course Description
Course information provided by the 2025-2026 Catalog.
This course explores what artificial intelligence (AI) can teach us about human storytelling. We'll tackle this question through a two-pronged approach: story understanding and story generation. Students will explore how AI and machine learning technologies have revolutionized our approach to analyzing narratives as well as computational methods and concepts for modeling stories, moving towards a broader understanding of storytelling's societal effects.
Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP
Regular Academic Session. Combined with: INFO 5940
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Section Topic
Topic: U.S. Copyright Law
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Class Number & Section Details
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Meeting Pattern
- MW
- Jan 20 - May 5, 2026
Instructors
Priehs, M
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session. Combined with: INFO 5940
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Section Topic
Topic: Law, Policy, and Politics of AI
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 20 - May 5, 2026
Instructors
Mitrano, T
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session. Combined with: INFO 5940
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Section Topic
Topic: Building Inclusive Computing Organizations
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Class Number & Section Details
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Meeting Pattern
- MW
- Jan 20 - May 5, 2026
Instructors
Cleare, S
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session.
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Section Topic
Topic: Producing Culture About, With, and Through Tech
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Class Number & Section Details
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Meeting Pattern
- F
- Jan 20 - May 5, 2026
Instructors
Csikszentmihalyi, C
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Additional Information
Instruction Mode: In Person
Application required. See https://forms.gle/97PeWtkhpSFbCmrn9 to apply.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/Instructor Consent Required (Add)
Regular Academic Session. Combined with: INFO 5940
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Section Topic
Topic: Designing AI Products and Services
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Class Number & Section Details
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Meeting Pattern
- F
- Jan 20 - May 5, 2026
Instructors
Yang, Q
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Additional Information
Instruction Mode: In Person
Application required. See https://forms.gle/TRiSkgZDH7Jwko6a9 to apply. Permission numbers will be sent by the instructor in January.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/Instructor Consent Required (Add)
Regular Academic Session. Combined with: INFO 5940
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Section Topic
Topic: How LLMs work, their potential and limitations
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Class Number & Section Details
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Meeting Pattern
- MW
- Jan 20 - May 5, 2026
Instructors
Matthews, J
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Section Topic
Topic: Neural Networks in Practice
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 20 - May 5, 2026
Instructors
Ginsparg, P
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Additional Information
Instruction Mode: In Person
Prerequisities: Probability/statistics and python programming at the level of Info 3950 or equivalent. Linear algebra is useful but not required.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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