Quantitative Methods for Economics and Finance

This course is a rigorous introduction to quantitative methods for students intending to study economics, finance, accounting, marketing, and management science. Examples are drawn from these areas. Topics covered include probability distributions, statistical inference, multiple linear regression, logistic regression, optimization, and machine learning. This course focuses on applications illustrating concepts with datasets. The statistical programming language, R, is completely integrated into the course. Prior background in R is not required. After completing this course, students can apply quantitative techniques to analyze problems in areas such as economics, finance, accounting and marketing; understand and apply statistical concepts to real world problems; understand and apply machine learning techniques like logistic regression; and use R as an analytical tool. Students cannot take both MGMT E-104 and STAT E-104 for degree or certificate credit.