Fall 2019 Courses

Semester: 
Fall
Year: 
2019
Subj Abbr Course #sort ascending Sect # Course Title Instructor(s) Meeting Times Institution
STATISTC 705 01 Linear Models I Anna Liu TU TH 11:30AM 12:45PM UMass Amherst
STATISTC 697ML 01 ST-Stat Machine Learning Patrick Flaherty M W 2:30PM 3:45PM UMass Amherst
STATISTC 697B 01 ST- Bayesian Statistics John Staudenmayer M W F 12:20PM 1:10PM UMass Amherst
BIOSTATS 690B 01 Intro to Causal Inference Laura Balzer M W 2:30PM 3:45PM UMass Amherst
STATISTC 625 02 Regression Modeling W 6:00PM 8:30PM UMass Amherst
STATISTC 625 01 Regression Modeling Krista Gile TU TH 2:30PM 3:45PM UMass Amherst
STATISTC 607 02 Math Statistics I TU 6:00PM 8:30PM UMass Amherst
STATISTC 607 01 Math Statistics I Daeyoung Kim TU TH 11:30AM 12:45PM UMass Amherst
STATISTC 605 01 Prbablty Th I Luc Rey-Bellet TU TH 1:00PM 2:15PM UMass Amherst
STATISTC 598C 01 StatisticalConsultingPracticum Krista Gile;Anna Liu TH 1:00PM 2:15PM UMass Amherst
BIOSTATS 597D 01 ST-Intro/Stat Computing with R Leontine Alkema TU TH 8:30AM 9:45AM UMass Amherst
STATISTC 535 02 Statistical Computing M 6:00PM 8:30PM UMass Amherst
STATISTC 535 01 Statistical Computing Patrick Flaherty M W F 1:25PM 2:15PM UMass Amherst
STATISTC 525 02 Regression&Analysis/Variance Zheni Utic TU TH 10:00AM 11:15AM UMass Amherst
STATISTC 525 01 Regression&Analysis/Variance Zheni Utic TU TH 8:30AM 9:45AM UMass Amherst
STATISTC 516 02 Statistics II TU TH 1:00PM 2:15PM UMass Amherst
STATISTC 516 03 Statistics II TU TH 2:30PM 3:45PM UMass Amherst
STATISTC 516 01 Statistics II TU TH 10:00AM 11:15AM UMass Amherst
STATISTC 515 01 Statistics I TU TH 10:00AM 11:15AM UMass Amherst
STATISTC 515 02 Statistics I Panagiota Birmpa M W F 9:05AM 9:55AM UMass Amherst

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The following list of courses associated with the Five College Statistics Program includes courses offered at Amherst College, Hampshire College, Mount Holyoke College, Smith College and the University of Massachusetts Amherst. Students are encouraged to consult a Statistics Program campus advisor to identify courses that are appropriate for their interests.