This workshop will further develop the material covered on mapping in the first workshop a few weeks back. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality bi-variate static and dynamic choropleth maps. We will also explore the functionalities of leaflet, a powerful library, […]
Like many image processing problems, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and […]
OVERVIEW This workshop is designed as a follow-up to the basic introduction to machine learning earlier in this series. We will cover several examples in Python and compare different implementations. We will also look at advanced topics in machine learning, such as GPU optimization, parallel processing, and deep learning. A basic understanding of Python is […]
Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage, both internally in your teams and for public code projects available to other researchers. This workshop will cover […]
Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors, and allow scientists to test different models to guide real-world research. However, these can be individually complex, and written in different computer languages and programs. It's a difficult task to combine simulators from different parts […]
PostGIS, built on top of PostgreSQL, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases, learn about setting PostGIS, and understand how PostGIS can help us manage large volumes of vector data spread over multiple tables and geometries efficiently. We will also […]
Understanding how heights are measured and recorded in GIS systems are essential for many applied tasks such as modeling flood risk due to sea level rise. In this workshop we will understand vertical datums, the concept of height, and what do terms like orthometric height and ellipsoid height mean. This will be a lecture-style workshop […]
OVERVIEW XSEDE, along with the Pittsburgh Supercomputing Center is pleased to present a Hybrid Computing workshop. This 4 day event will include MPI, OpenMP, GPU programming using OpenACC and accelerators. This workshop will be remote to desktop only due to the COVID-19 pandemic. When the registration has filled, there will be no more students added […]
Like other image processing problems, deep learning has brought many effective solutions to the task of image segmentation. This workshop will introduce you to the methods used in image segmentation, demonstrate how to prepare your own segmentation masks using Matlab, and guide you through performing image segmentation using the FastAI Python library, which is built on the deep […]
Elevation data can come in the form of point (e.g. from LiDAR), digital elevation model (DEM), or triangulated irregular network (TIN). In this workshop we will focus on DEM and TIN. We will learn about each model and related data structure, their relative strengths, the kind of information they provide, and how to obtain downstream […]