CEE/MICDE Seminar: Khachik Sargsyan, Sandia National Laboratories
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesProbabilistic Methods for Uncertainty Quantification in Computational Models
Probabilistic Methods for Uncertainty Quantification in Computational Models
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 GIS data. The workshop will be especially useful for students and researchers who use ArcGIS, but would like to learn about open source GIS tools. […]
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. We’ll also cover sentiment analysis, topic modelling and maybe some visualizations. The workshop will be conducted in Python and is intended for users with basic […]
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 models in GEE, basic vector and raster operations, and classification in both feature and image space. You should be familiar with vector and raster 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 to change. Participants must sign up for the entire series. Fundamentals This portion introduces SPSS for Windows, the menu and the help systems, the three […]
11 a.m. to 5 p.m., June 4-7, 2018
This 4 day event will include MPI, OpenMP, OpenACC and accelerators.
This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern, (ii) discrete spatial variation on areal units, and (iii) continuous spatial variation. Spatial point (and marked point) process models help us analyze the geometrical pattern of points in space […]
Please join us for the second annual Single-cell Genomic Data Analytics Symposium. The day long symposium will highlight researchers from U-M and around the world whose work is on the leading edge of innovation and discovery. This symposium is organized by the Michigan Center for Single-Cell Genomic Data Analytics and sponsored by the Michigan Institute […]