ECON 4740
Introduction to Algorithmic Economics
Course Description
Disciplines
Quantification, Computation & Data Analysis
The course will cover recent work in Computer Science and Economics the enables the appropriate analysis of dynamic marketplaces where agents rely on algorithmic tools to make decisions and compete. The course will cover a range of fundamental concepts from machine learning and convex optimization and connect them with the concepts in game theory and Economics of information.
Instructors
Matheus Ferreira
Spring 2025
MoWe 2:00pm - 3:15pm
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Rating
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Difficulty
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GPA
Matheus Xavier Ferreira
Spring 2025
MoWe 2:00pm - 3:15pm
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Rating
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Difficulty
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GPA
Denis Nekipelov
Spring 2025
MoWe 2:00pm - 3:15pm
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Rating
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Difficulty
3.52
GPA
Chen-Yu Wei
Spring 2024
MoWe 3:30pm - 4:45pm
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Rating
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Difficulty
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GPA
Hongning Wang
Spring 2023
MoWe 12:30pm - 1:45pm
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Rating
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Difficulty
3.93
GPA