Statistics 535 - Statistical Computing
Fall
2019
01
3.00
Patrick Flaherty
M W F 1:25PM 2:15PM
UMass Amherst
33400
Lederle Grad Res Tower rm 206
flaherty@math.umass.edu
This course will introduce computing tools needed for statistical analysis including data acquisition from database, data exploration and analysis, numerical analysis and result presentation. Advanced topics include parallel computing, simulation and optimization, and package creation. The class will be taught in a modern statistical computing language.
Open to graduate BIOSTATS, MATH, and STATISTC students and undergraduate COMPSCI, MATH, and STATISTC students. STATISTC 516 and COMPSCI 121 Note: Prior knowledge of statistical methods and programming experience (STAT 525 or equivalent) is strongly recommended for this course.