Teaching

Fall 2024, In-person, 2 sections, 33 students

This course covers both microeconomic and macroeconomic topics. In microeconomics, students will learn about market fundamentals, including supply and demand, consumer and firm behavior, government roles, and market interactions. In macroeconomics, students will explore key indicators like production, unemployment, and inflation. By the end of the course, students will understand how markets function and apply core economic principles to real-world decision-making. They will also be able to evaluate the broader effects of policy decisions on national economic stability and growth.

Fall 2023, In-person, 67 students

This course covers key economic topics like production, business cycles, unemployment, and inflation. It provides a foundation for understanding how monetary and fiscal policies impact the economy. By the end, students will be able to evaluate the broader effects of policy decisions on national economic stability and growth.

Summer 2022, In-person, 7 students

This course builds on earlier principles to explore major economic issues like business cycles, unemployment, and inflation, with a stronger focus on data analysis. It provides a comprehensive look at monetary and fiscal policy effects, incorporating theoretical models. Students will use public data and Excel to analyze real-world economic questions. By the end, they will be able to critically evaluate policy impacts on macroeconomic indicators and overall economic health.

Spring 2022 & Fall 2021, Hybrid, 40 and 43 students separately

This course covers market fundamentals, including supply and demand, consumer and firm behavior, government roles, and interactions among market participants. By the end, students will understand how markets work, provide real-life examples of economic concepts, and apply core principles to real-world decision-making.

Summer 2021, Online, 20 students

This course explores statistical techniques used in economics and business, covering essential concepts like mean and standard error. It focuses on regression analysis, estimation, and forecasting. Students will learn to conduct regression analysis in Excel using real-world projects and datasets. They’ll evaluate outcomes, interpret regression coefficients, and produce detailed reports using these statistical tools.