Parallel Processing with Python
Modern Languages Building (MLB), Room 2001BModern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how […]
Modern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how […]
Massively Parallel Simulations of Hemodynamics in the Human Vasculature
Probabilistic Methods for Uncertainty Quantification in Computational Models
Rhythms in neuronal networks with recurrent excitation
Extension of the peridynamic theory of solids for the simulation of materials under extreme loadings
This workshop will provide a fast paced introduction to open source GIS tools, especially QGIS (but also R). We will explore QGIS’s power and functionalities for manipulating and analyzing vector […]
Reduced order models, networks, and applications to modeling and imaging with waves
This workshop will provide a quick overview of natural language processing using Python. We’ll cover the basics. Segmenting text into tokens, assigning part-of-speech, assigning dependency labels, detecting and labeling named-entities. […]
Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data […]
Audience: Never before SPSS users who will be using SPSS for Windows. Those using SPSS for Unix or Macintosh should email the instructor at [email protected] before enrolling. Note: Topic order is subject […]