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    • Regression analysis with Generalized Linear Models in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, 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 other GLMs including Poisson, negative binomial, and gamma regression.  We will provide an overview of the underlying foundation for GLMs, focusing on the mean/variance relationship […]

    Introduction to the Linux Command Line

    East Hall B254 530 Church St., Ann Arbor, MI, 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 line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […]

    • Regression Modeling in Stata

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, 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 choosing an appropriate model, fitting the model, checking assumptions and some post-hoc analysis. Participants are expected to have some basic familiarity with Stata.

    Statistical Analysis with R

    Modern Languages Building (MLB), Room 2001A

    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 built-in statistical procedures, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability […]

    Data Visualization With 3D Graphics Using Unity3D

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, 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 for multiple platforms, and affordable pricing options (including free!). In addition to powering the majority of mobile and independently-developed games, the engine is being used […]

    Introduction to the Flux cluster and batch computing

    East Hall B254 530 Church St., Ann Arbor, MI, 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 to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created a submission […]

    Statistical Analysis with R

    Modern Languages Building (MLB), Room 2001A

    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 built-in statistical procedures, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability […]

    Introduction to the Linux Command Line

    East Hall B254 530 Church St., Ann Arbor, MI, 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 line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […]

    Generalized estimating equations in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, 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 a GLM may not be appropriate.  In this workshop we will discuss fitting models using GEE in Python with the Statsmodels package.  We will briefly cover […]

    Advanced batch computing on the Flux cluster

    East Hall B254 530 Church St., Ann Arbor, MI, 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 use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob, qstat, and other tools; and parallel debugging and profiling of C and […]