This course studies the economics of the energy sector and the environment. We discuss the sources of the energy sector challenges and environmental problems—market failures such as market power and externalities—and how policies—taxes, subsidies, performance standards, and cap-and-trade—can help address those challenges.

This course studies the fundamental concepts of statistics. We will focus on the applications of statistical methods for business managers. Topics include descriptive data, probability, distributions, hypothesis testing, analysis of variance and regression.

The objective of this course is to understand empirical methods—applied micro-econometrics—used for causal inference. The course focuses on information systems research. The core agenda includes regression and matching, instrumental variables (IV), differences-in-differences (DiD) and regression discontinuity designs (RD). Additional topics include standard errors, synthetic controls, quantile regression, robust estimation, causal inference using ML, etc. Note that the additional topics may not be covered due to time constraints.

This is an introductory course to microeconomics and macroeconomics. In the first half of the course, we cover the basics of microeconomics: 1. Consumers & Demand, 2. Firms & Supply, 3. Market Mechanisms, and 4. Game Theory. In the second half, we study the basics of macroeconomics: 1. GDP & its components, 2. Inflation, 3. Unemployment, 4. Money, and 5. Fiscal & Monetary Policies.

In intermediate microeconomics, we explore the foundations of consumer and firm theory.  In consumer theory, we study 1. budget constraints, 2., preferences, 3. utility, 4. choices (utility maximization), 5. comparative statics, 6. demand and equilibrium, and 7. general equilibrium and welfare.  In firm theory, we study 1. costs, 2. profit maximization and cost minimization, 3. supply and equilibrium, 4. market conduct (monopoly & oligopoly), and 5. game theory. We may or may not cover certain topics in microeconomics including uncertainty, intertemporal choices, externalities, public goods, asymmetric information, and behavioral economics.

This is an advanced workshop for senior thesis. In the first half, we review basic statistics and various regression models: 1. OLS, 2. IV, 3. RD, 4. DiD. In the later half, cadets apply the regression analysis to their senior thesis.