Course Description

Statistical Sciences 259a/b Statistical and Actuarial Computing

Basic programming in the R and Mathematica software packages with applications to statistical and actuarial analysis. R topics include: data visualization; probability distributions; simulation; bootstrapping. Mathematica topics include: functional visualization and animation; probability distributions; valuation of payment streams; simulation; topics in exact and symbolic computation in probability, statistics and financial mathematics.

Antirequisite: The former Statistical Sciences 255.

Prerequisites: A minimum grade of "C" in Calculus 050a/b and in one of Calculus 051a/b or 081a/b. Pre- or Co-requisites: Statistical Sciences 257a plus one of 024a/b and 260b.

3 lecture hours plus 1 tutorial hour, half course.

Academic Calendar