Topics in Econ/Econ of AI
Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:
30
CRN: 57042
CRN: 57042
Special topics cover a variety of areas in economics, often of special interest to the instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Prerequisite(s): (ECON 401 with minimum grade of C- or ECON 401H with minimum grade of C- ) and (ECON 402 with minimum grade of C- or ECON 402H with minimum grade of C- or EREC 411 with minimum grade of C- )
Repeat Rule: May be repeated for a maximum of 16 credits.
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Attributes: Writing Intensive Course
Instructors: Marco Vincenzi
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/25/2022 | 5/9/2022 | TR | 12:40pm - 2:00pm | PCBE 135 |
Additional Course Details:
This course will provide students with a survey of economic models, applied to Artificial Intelligence (AI). The course is divided into three sections. In the first one, we introduce the concept of AI as a General-Purpose Technology that can improve prediction. In the second part, we look at how improved prediction can help decision-making under uncertainty. Finally, we analyze how AI can impact several aspects of business, society, and in particular the labor market.