ECON 4740

Introduction to Algorithmic Economics

New Add to Schedule

Course Description

Discipline(s): 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.


  • Hongning Wang

     Rating

     Difficulty

     GPA

    3.93

     Sections

    Last Taught

    Spring 2023

  • Denis Nekipelov

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2025

  • Chen-Yu Wei

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2024

  • Matheus Ferreira

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2025

  • Matheus Xavier Ferreira

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2025