September 2019
Introduction to the Linux Command Line
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…
Introduction to SPSS
Audience: Never before SPSS users who will be using SPSS for Windows. Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. Fundamentals This portion introduces SPSS…
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…
Research Computing on the Great Lakes cluster
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…
Introduction to the Linux Command Line
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…
Open Source GIS
This workshop will provide a gentle introduction to open source GIS tools in R and QGIS. We will cover introductory GIS concepts and will explore the functionalities of R and…
Stata 16 New Data Management Features
Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16. We'll cover the two main data management features introduced…
Intro to SQL
Ever want to know how to communicate with a database? You need to know SQL, a standard programming language for working with relational database management systems in data warehouses or…
Data Visualization With 3D Graphics Using Unity3D and C#
Video game development is more accessible than ever before thanks to modern software tools, with many options free to download. These tools are also used to program more "serious" applications…
October 2019
Introduction to NumPy (Python)
This workshop will introduce you to the NumPy library in Python, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth, along…
Geometric Network Analysis
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…
Back to a Future: Asynchronous Computing with futures in R
Asynchronous computing is an umbrella term encompassing parallel and concurrent computational programs in which some tasks can be executed without a strict sequential order. A future is a programming abstraction for a value…
Mediation Models: A demonstration using multiple packages
Mediation models are commonly applied in a variety of modeling settings, and people will typically flock to tools specific to structural equation modeling like Mplus or Amos for analysis. However,…
Introduction to Performance Analysis of Scientific Software
We all had this: "My program is too slow". We all have heard: "Use Fortran and C++, they are fast." But will it really help? We all have heard also:…
November 2019
Introduction to Deep Neural Networks with Keras/TensorFlow
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…
Android Application Development: An Overview
Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google and Apple (the creators of Android and iOS, respectively) confirmed a combined…
Improving the Performance of Scientific Software
This is a continuation of the workshop "Introduction to performance analysis of scientific software". Now, we know how to measure overall performance of our software and can make a good…
Stata 16 New Data Management Features
Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16. We'll cover the two main data management features introduced…
Rcpp: Integrating C++ into R
The Rcpp package for R provides “seamless R and C++ integration”. In this workshop, we will discuss the use of Rcpp to speed up existing R code by rewriting slow functions…
