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January 2019

Linear regression analysis in Python

January 22 @ 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 regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression, and how to interpret a…

Introduction to Stata

January 25 @ 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…

Regression analysis with Generalized Linear Models in Python

January 29 @ 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 fitting generalized linear models (GLMs) in Python, using the Statsmodels package.  We will cover logistic regression, but the majority of the time we will focus on…

Introduction to the Linux Command Line

January 30 @ 9:00 am - 12:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command…

February 2019

Regression Modeling in Stata

February 1 @ 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

In this session, we will discuss fitting traditional regression models in Stata, including linear regression, logistic regression, and time-allowing, poisson regression. We'll briefly introduce the theory behind the models, discuss…

Statistical Analysis with R

February 4 @ 8:30 am - 3:00 pm
|Recurring Event (See all)
Feb 4 & 5, 2019
Presenters: Chris Andrews is a statistical consultant at CSCAR and statistician in the UM Department of Ophthalmology and Visual Sciences. Formerly he was Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Region Biostatistics Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute.

This is a two day workshop (February 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many…

Introduction to the Flux cluster and batch computing

February 4 @ 1:00 pm - 5:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

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 scripts…

Data Visualization With 3D Graphics Using Unity3D

February 4 @ 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

Video game development is more accessible than ever thanks to advanced software tools. Unity3D is one of the most popular game engines available, thanks to its ease of use, support…

Introduction to the Linux Command Line

February 5 @ 12:30 pm - 3:30 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command…

Generalized estimating equations in Python

February 5 @ 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

GEE is an extension of the generalized linear modeling (GLM) framework for dependent data.  GEE can be used with longitudinal data, clustered data, and other forms of dependent data where…

Advanced batch computing on the Flux cluster

February 6 @ 9:00 am - 12:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

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 Programming with Python & Matlab

February 6 @ 11:00 am - 1:00 pm

This is a four-part workshop introducing programming concepts to those with little-to-no programming experience. The four 2-hour sessions will take place over two weeks, with Python being taught in the…

Sliding into Slurm: An early look at U-M’s new high-performance computing environment

February 7 @ 2:00 pm - 5:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster…

Mixed Models with R

February 7 @ 2:00 pm - 5:00 pm

Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data, where the correlation typically arises from the observations being…

Introduction to the Flux cluster and batch computing

February 8 @ 9:00 am - 1:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

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 scripts…

Mixed Effects Modeling in Stata

February 8 @ 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

We'll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering…

Advanced batch computing on the Flux cluster

February 11 @ 9:00 am - 12:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

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…

Multilevel models in Python

February 12 @ 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

Multilevel modeling is the state-of-the-art approach for handling data with complex dependence structure in a regression analysis.  This workshop will discuss fitting multilevel models in Python using the Statsmodels package.…

Survival analysis in Python

February 19 @ 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

Survival analysis is used when working with data that may be censored, as often is the case in studies of human subjects with incomplete follow-up.  The presence of censoring makes…

Generalized Additive Models

February 20 @ 1:00 pm - 3:00 pm

Nonlinear relationships abound in nature, though typical statistical models ignore this in favor of simplicity, often at a cost of both predictive capabilities and better understanding of the underlying phenomenon…

Introduction to Deep Neural Networks with Keras/TensorFlow

February 26 @ 10:00 am - 12:00 pm

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including…

Geospatial Analysis with Google Earth Engine

February 27 @ 2:00 pm - 5:30 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This hands-on workshop will help you understand the power (and limitation) of GEE…

March 2019

Latent Variable Modeling

March 6 @ 2:00 pm - 5:00 pm

Part of the Structural Equation Modeling (SEM) series.  This workshop will help participants develop skills in understanding and conducting latent variable models, particularly from the perspective of structural equation modeling.…

Open Source GIS

March 14 @ 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 and techniques using open source tools. We will use QGIS and R and learn the basics of GIS by solving a number of…

Introduction to Deep Neural Networks with Keras/TensorFlow

March 19 @ 10:00 am - 12:00 pm

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including…

Go for data processing 1/2/3

March 19 @ 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 is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

Introduction to Stata

March 22 @ 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…

Go for data processing 1/2/3

March 26 @ 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 is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

April 2019

Go for data processing 1/2/3

April 2 @ 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 is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

Open Source GIS and Geometric Network Analysis

April 12 @ 1:30 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network, but the ideas and techniques apply to…