An introduction to numerical methods as used in economics, finance, and related fields. Topics include optimization, non-linear systems, numerical approximation, and simulation. Includes a major project where students implement economic models or replicate work found in the literature.
ECON 250 (or Stats 263). Programming experience is recommended but not required.
NOTE Students without the requisite courses but with a strong math or computing background can contact the department for permission firstname.lastname@example.org
Students interested in this new course can also contact Professor Ferrall for more information email@example.com