Teaching

Fall 2020

I am scheduled to teach Economics 3504 — Mathematical Economics and the cross-listed course Economics 8003 — Mathematics for Economists, as well as Economics 3701 — Intermediate Microeconomics with Calculus. Syllabi for these courses will appear here by mid-August 2020.

Recent courses taught:

Spring 2020

I taught Economics 3522 — Economic Theory of Networks, and Economics 3698 — Economic Inequality. Here are the syllabi for these courses.

Economic Theory of Networks Syllabus 2020

Economic Inequality Syllabus Spring 2020

Spring 2019

I taught Economics 3504, Mathematical Economics, Economics, and Economics 3698, the then new Economic Inequality writing intensive class.

Fall 2018

I taught Economics 3522, Economic Theory of Networks, Economics 3581, Co-op Experience in Economics, and Economics 8001, Microeconomic Analysis.

Spring 2018

I taught Economics 3504, Mathematical Economics, Economics, Economics 3581, Co-op Experience in Economics, and Economics 3598, Economics Writing Seminar.

Fall 2017

I taught I taught Economics 3522, Economic Theory of Networks and Economics 8001, Microeconomic Analysis.

Spring 2017

I taught Economics 3580, Special Topics in Economics: The Economics of Inequality, and Mathematics for Economists II (Economics 9101, for PhD students).

Fall 2016

I taught Economics 8001, Microeconomic Analysis, and Economics 8003, Mathematics for Economists I.

Spring 2016

I taught Economic Theory of Networks, Econ 3522.

Fall 2015

I taught Principles of Microeconomics (Econ 1102 section 7) and Microeconomic Analysis (Econ 8001).

Spring 2015

I taught Economic Theory of Networks (Economics 3522) and Advanced Topics: Mechanism Design (Economics 8190).

Fall 2014

I taught Intermediate Microeconomic Analysis (Economics 3501, section 2) and Macroeconomic Principles (Economics 1101, section 28).

Spring 2014

I taught Intermediate Microeconomic Analysis (Econ 3501 Section 2) and Economic Theory of Networks (Econ 3522 Section 1).

New in Spring 2013: Economic Theory of Networks

Econ 3522 CRN: 20391

Six degrees of separation. Six degrees of Kevin Bacon. Going to conferences in order to network. Social music recommendations. Social movie recommendations. Social everything recommendations on Facebook, Twitter, Google+, and more. Networks of friendships (in real life and online). Networks of loans between banks. Networks of Web pages. Interactions between buyers and sellers (trade networks).

I’d better stop. You get the idea. Networks are all around us. They influence our lives. They affect our careers. They make YouTube clips like Gangnam Style famously successful (if unpredictably and for short periods of time).

What’s less well known is that the analysis of network structure, formation, and evolution has made big strides in the last couple of decades.

Sign up for the Economic Theory of Networks to learn how to analyze networks. You will learn about the cutting edge in economics and computer science on topics such as

  • how to see a network as a graph
  • what weak ties may do to your employment prospects
  • social media
  • social capital
  • structural balance
  • trust and online ratings
  • a smattering of game theory
  • some evolutionary game theory
  • modeling network traffic with game theory
  • auctions and matching markets
  • networked markets with intermediaries (those middlemen that nobody seems to like)
  • bargaining and power in social networks
  • the structure of the World Wide Web
  • link analysis and Web search
  • sponsored search markets
  • information cascades
  • network effects
  • how the rich get richer on networks
  • six degrees of separation
  • epidemics on networks

Best of all, introductory microeconomics is all you’ll need to enroll. All necessary techniques will be covered in the course. For more details, here is the syllabus (PDF): Syllabus of Economic Theory of Networks (preliminary — the final version will appear around January 18).

This course will include a blog with participation by all students. I have written guidelines about this blog which you can read here.

Fall 2012

In the Fall 2012 semester I am teaching Microeconomic Theory II for Ph.D. students (Econ 8106) and I am leading the Graduate Research Seminar. I will use the following books in the Microeconomics course, which are available in the main campus bookstore. The course has been updated to emphasize more two recently very active areas of Microeconomics (auction theory and networks) and to reflect the fact that the previous Microeconomics course, taught by Dr. Zusai, now covers some game theoretic topics that I used to cover in Econ 8106. Books that are newly required for this course have been indicated by double asterisks. This book list may seem excessive, but you should already have the first two books from your previous Microeconomics courses.

  • Andreu Mas-Colell, Michael Whinston, and Jerry Green, Microeconomic Theory (Oxford University Press, 1995)
  • Martin J. Osborne, An Introduction to Game Theory (Oxford University Press, 2004)
  • Dimitrios Diamantaras, Karen A. Campbell, Emina I. Cardamone, Scott Deacle, and Lisa A. Delgado, A Toolbox for Economic Design (Palgrave Macmillan, 2009)
  • Vjay Krishna, Auction Theory, Second Edition (Academic Press, 2010) **
  • David Easley and Jon Kleinberg, Networks, Crowds, and Markets: Reasoning about a Highly Connected World  (Cambridge University Press, 2010) **

The syllabus for the course is here: Econ8106F2012syl

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