Program: Undergraduate
Course Areas
Human-Centered Data Science
Catalog Description
Introduction to the emerging field of Explainable Artificial Intelligence (XAI) from the perspectives of a developer and end-user. Students will gain hands-on experience with some of the most commonly used explainability techniques and algorithms.
Prerequisites
Upper-division standing; Informatics 310D and Informatics 304 (or one of the following approved substitutions: C S 303E, C S 312, C S 312H, C S 313E).
Restrictions
Generally restricted to undergradute Informatics majors through registration period 1 and extended to Informatics minors in period 2. Outside students – including iSchool graduate students – will only be accepted during period 3.
Current and Upcoming Classes for this Course
No upcoming classes are scheduled for this course.
Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| I 320D: Topics in Human-Centered Data Science: Explainable AI
Louis Gutierrez Syllabus |
Spring Term 2025 |
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| I 320D: Topics in Human-Centered Data Science: Explainable AI
Louis Gutierrez Syllabus |
Spring Term 2024 |
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