The objective of this course is to introduce students to basic microeconomic concepts and prepare them for future economic classes. By the end of this class, students should be able to understand microeconomic theory and its applications, prepare and understand basic equilibrium graphs, relate economic topics to real world situations, and explain economic principles.

Microeconomics is a branch of economics that studies the behavior of individuals and businesses and how decisions are made based on the allocation of limited resources. Microeconomics examines how these decisions and behaviors affect the supply and demand for goods and services, which determine the prices we pay.

The objective of this course is to introduce students to basic Macroeconomics concepts and prepare them for future economic classes. By the end of this class, students should be able to (1) understand and explain basic macroeconomic concepts and basic elements of how the economy in the US is structured, (2) apply their understanding of economics to current events, and (3) be able to distinguish between correct and incorrect economic logic.

Macroeconomics is a branch of economics that focuses on economic outcomes at the national level. Questions like: "Why are some countries rich while others are poor?" and "Why do some countries experience rapid growth while others stagnate?" are complicated. They are also best addressed after becoming familiar with a set of "tools" that facilitate a deep understanding of economic outcomes.

This is an introductory statistics course, which surveys basic statistical techniques with particular emphasis on business and economic applications. The learning objective of this course is to improve students' analytical skills in understanding and employing the descriptive and inferential statistics.

We begin this course by learning how to describe the data in use. Then, we focus on applied probability theory, which enables us to understand the essence of statistical inference. And for the rest of the course, we explore multiple inference tools such as confidence interval estimation, hypothesis testing, and the analysis of variance. These tools help us make use of sample data to reach conclusions about population parameters.