QAC 387
Spring 2027
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01
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The goal of this course is to educate students in the techniques of doing data analysis with the assistance of artificial intelligence. The course will cover the use of Generative AI -- Large Language Models (LLMs) and consider the ethical dimensions in the development of AI tools and their applications. Through hand-on exercises and a term project students will develop the understanding and the skills for development, application, and appropriate use of AI tools in data analysis to advance empirical research and evidence-based decision making. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM QAC |
| Course Format: Laboratory Course | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: None |
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Fulfills a Requirement for: (Applied Data Science Certificate)(Data Analysis Minor) |
| SECTION 01 |
Major Readings: Wesleyan RJ Julia Bookstore
Relevant journal articles and online tutorials
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Examinations and Assignments:
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Additional Requirements and/or Comments:
Selection by brief interview with instructor. Students interested in taking this course should contact Professor Rose at x2406 or e-mail jrose01@wesleyan.edu. Experience in programming (e.g. python, R) and data analysis beyond the introductory level are prerequisites for this course. |
| Instructor(s): Rose,Jennifer S. Times: .M.W... 08:20AM-09:40AM; Location: TBA |
Permission of Instructor Required
Enrollment capacity: 15 | Permission of instructor approval will be granted by the instructor during pre-registration through the Electronic Portfolio. Click "Add to My Courses" and "To request a POI electronically, click here" to submit your request. |
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