Teaching

Chancellor's Award for Excellence in Teaching, 2016–2017 academic year.

Econ 416. Economic Analysis with Python

This course teaches the fundamentals of Python and applies them to problems in economics and finance. Topics include: collections, control flow, functions, classes, NumPy, Pandas, data visualization, and time series techniques. These skills are used to analyze problems from macroeconomics, behavioral economics, finance, and experimental economics.

Econ 362. Macroeconomic Theory

A required course for economics majors covering national income, unemployment, booms and recessions, and analysis of the government's economic policies. Prerequisites: C or better in Econ 162 and Econ 160. Textbook: N. Gregory Mankiw, Macroeconomics (latest edition).

Econ 450. Monetary Theory

An elective covering money, interest rates, financial markets, and Federal Reserve monetary policy. Prerequisites: C or better in Econ 360 and 362, statistics, and college-level calculus. Textbook: Frederic S. Mishkin, The Economics of Money, Banking, and Financial Markets (latest edition).

Econ 613. Macroeconomic Theory I (PhD)

A core PhD course providing rigorous analysis of dynamic and intertemporal macroeconomics with explicit microeconomic foundations. A strong background in microeconomics and mathematics is required.

Econ 633. Advanced Macroeconomics / Monetary Theory (PhD)

Required for the macroeconomics PhD field. Topics include dynamic general equilibrium models, monetary and fiscal policy analysis, rational expectations vs. bounded rationality and learning, behavioral macroeconomics, and model simulation with computers.