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 total of over 3 billion devices around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a […]
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 guess of the main performance bottleneck. How can we improve the performance? Do we really need to rewrite the whole program in a different language? […]
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 in Stata 16. 1) Frames - holding multiple data sets in memory simultaneously. 2) Variable lists - formalizing creation and storage of lists of variables.
QGIS is a user friendly Open Source Geographic Information System (GIS). You can visualize, manage, edit, analyze data, and compose printable maps. The workshop will use R. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. It is the second workshop in the series. Learn more about the workshop series and the Visualization […]
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 it should […]
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 in C++. The workshop will be centered around a couple of case studies with an opportunity provided for participants to implement a few of their […]
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 […]
This workshop will provide some tools, tips, and packages that make data processing and visualization in R easier. Some coding experience is required – not necessarily R. Instructor: Dr. Michael Clark, Consultant, Consulting for Statistics, Computing and Analytic Research (CSCAR) Space is limited. Learn more and register here.
D3.js is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of the widely implemented SVG, HTML5, and CSS standards. We’ll explore how to get started with D3 and the anatomy of a basic D3 plot with animation using a top-down approach. We’ll be using the baseball chart at […]
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 the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification […]