ECON 652 (01) - Economics of Artificial Intelligence

Economics of Artificial Intel.

Durham   Paul College of Business&Econ :: Economics
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14245
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.
Prerequisite(s): ECON 401 with minimum grade of C- or ECON 401H with minimum grade of C- or ECON 402 with minimum grade of C- or ECON 402H with minimum grade of C- or EREC 411 with minimum grade of C-
Classes not allowed in section: Freshman
Attributes: Writing Intensive Course
Instructors: Marco Vincenzi

Times & Locations

Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 2:10pm - 3:30pm PCBE G59

Booklist

Book Details
PREDICTION MACHINES (22)
by AGRAWAL
Required
ISBN
978164782467 9
PUBLISHER
INGRAM PUB
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