Statistics 535 - Statistical Computing

Maryclare Griffin

TU TH 11:30AM 12:45PM

UMass Amherst
Lederle Grad Res Tower rm 206
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.

Grad Math/Stat/Biostat students STATISTC 516 & CICS 110 Note: Prior knowledge of statistical methods and programming experience (STAT 525 or equivalent) is strongly recommended for this course.

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Permission is required for interchange registration during the add/drop period only.