May 2019
Advanced batch computing on the Flux cluster
This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic…
Introduction to the Flux cluster and batch computing
Overview This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions…
Dimension Reduction with Python
This workshop will cover dimension reduction techniques for data analysis in Python, focusing on Principal Component Analysis (PCA), factor analysis, and canonical correlation analysis (CCA). Depending on audience interest, dimension…
Introduction to Survey Design: Data Collection, Questionnaire Design and Response Processes-Lecture
This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire…
Introduction to the Twitter API
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
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
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…
June 2019
Multiple testing and large-scale inference in Python
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…
Introduction to Stata
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
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…
August 2019
Introduction to Geostatistics
Geostatistics models continuous variation over geographical space. It is widely used for spatial interpolation. We will use R and ArcGIS to explore and develop an understanding of variogram and kriging…