Five College Consortium

Fall 2018 Courses

Semester: 
Fall
Year: 
2018
Subj Abbr Course #sort descending Sect # Course Title Instructor(s) Meeting Times Institution
SDS 293 01 MACHINE LEARNING Katherine Kinnaird MW 09:00-10:20 Smith College
STAT 320 01 Statistics Communication Pamela Matheson MW 02:00PM-03:20PM Amherst College
STAT 340 01 Applied Regression Methods Evan Ray MWF 11:00AM-12:15PM Mount Holyoke College
STAT 360 02 Probability Tanya Leise TTH 11:30AM-12:50PM; M 12:00PM-12:50PM Amherst College
STAT 360 01 Probability Nicholas Horton TTH 01:00PM-02:20PM; M 12:00PM-12:50PM Amherst College
SDS 390 01 T- ANALYSIS OF SOCIAL NETWORKS Miles Ott MW 02:40-04:00 Smith College
PUBHLTH 460 01 TellingStories/DataStatModelVi Nicholas Reich TU TH 10:00AM 11:15AM UMass Amherst
STAT 495 01 Advanced Data Analysis Amy Wagaman TTH 10:00AM-11:20AM; M 10:00AM-10:50AM Amherst College
BIOSTATS 540 01 Intro Biostatistics Raji Balasubramanian M W F 10:10AM 11:00AM UMass Amherst
BIOSTATS 690B 01 Intro to Causal Inference Laura Balzer M W 2:30PM 3:45PM UMass Amherst
BIOSTATS 743 01 Analysis/Catg Data Pub Hlth Nicholas Reich TU TH 1:00PM 2:15PM UMass Amherst

Pages


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.