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.
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Basics of automatic dependency management with Make
Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United StatesIn 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 LocationPeople 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 StatesGEE 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 […]
R by Example: Functional Programming with dplyr
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 “Functional Programming with dplyr” workshop will initially 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 dplyr package for data […]
Workshop: Corelogic real estate data for research
Weiser Hall, 6th Floor, 619 500 Church Street, Ann Arbor, MI, United States 
Introduction to Stata
Audience: Those who have never used Stata before but wish to learn. 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 data files Establish familiarity with your data Clean the data to prepare it for […]
MICDE Seminar: Osman Basaran, Professor, Chemical Engineering, Purdue University
1084 East Hall 530 Church St., Ann Arbor, MI, United StatesHIGH-ACCURACY SIMULATION OF FREE SURFACE FLOWS NEAR FINITE-TIME PINCH-OFF AND COALESCENCE SINGULARITIES
Multilevel models in Python
Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United StatesMultilevel 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. We will discuss the motivation and main use cases for multilevel modeling, and illustrate by example how to fit linear and generalized linear mixed models. […]