Math 6783

The textbook for the course is

Statistics and Finance, An Introduction - by David Ruppert

There will also be supplemental notes.

Examples of the use of the programming languages SAS, Matlab, and R will be provided. R is preferred; it is open source and various gui versions can be downloaded for free for Windows, Mac OSX, and Linux platforms. Click here. It can also be run on the isye mainframe. There will be assignments involving the use of such programs on the analysis of real data. The primary source for the successful completion of the assignments is the examples, but R's help or An Introduction to R available at the CRAN website R's online help are also available.

The teaching assistant for this course is Mr. Zhi Han whose office 321 is in the main building. His office hours are Tuesday 1-3PM. He can be reached via e-mail: here.