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    • Android Application Development: Introduction to Android Studio

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    Mobile app development is one of the biggest new industries of the last decade. If you are developing an Android app for the first time, the first option you will likely find is "Android Studio," a free integrated-developer-environment (IDE) provided directly by the Android team at Google, using the Java programming language. It's a good […]

    Julia drop in coding session

    Weiser Hall, 6th Floor, 619 500 Church Street, Ann Arbor, MI, United States

    MIDAS and CSCAR will hold a drop-in coding session focusing on using the Julia programming language for basic data analysis.  No prior experience with Julia is expected.  The session will focus on analyzing large public AIS datasets recording the tracks of ships traveling in US coastal waters.  Participants can use (link below) as a starting […]

    Research Computing on the Great Lakes Cluster

    Modern Languages Building (MLB), Room 2001A

    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 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 […]

    R by Example: Analyzing RECS using data.table

    Modern Languages Building (MLB), Room 2001B

    In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning  commonly used tools and programming patterns.  The “Analyzing RECS using data.table” workshop will focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/).  We’ll use the data.table package for data manipulations […]

    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 Poisson, negative binomial, and gamma regression. We will provide an overview of the underlying foundation for GLMs, focusing on the mean/variance relationship and the link function.  Participants should have familiarity with linear regression […]

    Introduction to Matlab

    This workshop will introduce you to Matlab. We will look at general coding syntax, matrix operations, writing functions, symbolic capabilities, etc. Computers will be available to complete exercises.

    Basics of automatic dependency management with Make

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    In this workshop we will discuss the concept of dependency management, with the primary focus on build dependencies between software components.  We will learn how to express the dependencies and how to automate the software building process using Make utility and language.  We will go through hands-on exercises and will see how expressing the dependencies […]

    R II: Programming

    Off Campus Location

    People using R for applied research are often not taught basic programming practices such as writing functions, efficient iterative processing, vectorization, and other practices that would make their research far more efficient and reproducible.  Understandably, focus is on basic data manipulation and getting model results.  Unfortunately, this can mean the data isn’t as explored as […]

    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 […]

    Introduction to SAS: Basic Data Manipulating, Summarizing, and Graphing

    Prerequisites: Familiarity with basic statistical calculations and graphs is helpful. In this one-day, six-hour workshop we will discuss the basics of using SAS for data analysis. The workshop is held in a computer lab and will alternate between instructor presentations and attendee work sessions. After this course the attendee will be able to load data […]