This course establishes the basic principles of Financial Modeling. Topics include different kinds of models (e.g. descriptive vs explanatory, statistical vs structural, etc.), foundational models used in finance (binomial, lognormal, Gaussian, etc.) and their applications (stocks, interest rates, commodities, etc.). Python will be used extensively to illustrate the models, therefore this course also serves as an introduction to the use of Python in finance.
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2025 provided by the University in response to a public records request