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May 2019

Introduction to the Twitter API

May 23 @ 4:00 pm - 5:00 pm
Location: Room 1450 – Institute for Social Research, 426 Thompson Street
Ann Arbor, MI 48109 United States

This workshop is designed for those who are interested in getting started with their own research and analytics of Twitter data. The workshop introduces workflows for using the Twitter API…

Simulation studies in Python

May 28 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Simulation studies are used to understand the properties of statistical procedures.  This technique is widely used when conducting power analysis for research studies,  which is one focus for this workshop. …

Introduction to GIS

May 30 @ 1:00 pm - 4:30 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop will cover introductory GIS concepts, tools, and techniques. We will use QGIS (and ArcGIS) and learn the basics of vector- and network-data GIS by solving problems.  You will also…

Data management in R with data.table

May 30 @ 2:30 pm - 4:00 pm

Matt Dowle, author of the data.table package, describes it as, “provid a high-performance version of base R's data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.” In this workshop…

Introduction to the Great Lakes cluster and batch computing with Slurm

May 31 @ 1:00 pm - 4:30 pm

OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating…

June 2019

Multiple testing and large-scale inference in Python

June 4 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop will cover techniques for conducting large-scale inference, using Python and its libraries.  We will cover the principals of how large scale inference is different from classical inference, and…

Advanced batch computing with Slurm on the Great Lakes cluster

June 7 @ 1:00 pm - 4:30 pm

OVERVIEW This workshop will cover some more advanced topics in cluster computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models…

R package demo: gganimate and patchwork

June 20 @ 3:00 pm - 4:30 pm

This brief workshop will demonstrate the capabilities of two recent R packages, gganimate and patchwork. One package allows the data explorer to provide some lively enhancement to an otherwise static…

Introduction to Stata

June 21 @ 9:30 am - 4:00 pm

Topics: By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system. Get data into Stata and manage your…

Modeling spatially correlated data

June 28 @ 1:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop will cover introductory concepts, tools, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that…