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    • Intro to Natural Language Processing with Python

    Modern Languages Building (MLB), Room 2001B

    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 […]

    Geospatial analysis with Google Earth Engine

    Modern Languages Building (MLB), Room 2001B

    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, […]

    Introduction to SPSS

    Modern Languages Building (MLB), Room 2001B

    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 […]

    • XSEDE HPC Summer Bootcamp

    NCRC B16 B003E 2800 Plymouth Rd., Ann Arbor, MI, United States

    11 a.m. to 5 p.m., June 4-7, 2018
    This 4 day event will include MPI, OpenMP, OpenACC and accelerators.

    Spatial point process models

    Modern Languages Building (MLB), Room 2001B

    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 […]

    • Single-Cell Data Analytics Symposium 2018

    Palmer Commons, Great Lakes Central Room 100 Washtenaw Ave., Ann Arbor, MI, United States

    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 […]

    Open MP Workshop

    NCRC B16 B003E 2800 Plymouth Rd., Ann Arbor, MI, United States

    ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. This one-day event will focus on OpenMP. Please fill out this google form if you are interested in attending either workshop and would like more information. […]

    Geostatistical modeling

    Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via covariance. It is widely used for spatial interpolation. We will use ArcGIS and R to explore and develop an understanding of variogram and kriging and how they can be used for robust and unbiased interpolation of data over space. The […]

    • AIM Seminar: Alex Gorodetsky, Aerospace Engineering, University of Michigan

    1084 East Hall 530 Church St., Ann Arbor, MI, United States

    Low-rank tensor approaches for adaptive function approximation: algorithms and examples In this talk, we present an adaptive method for approximating high-dimensional low-rank functions. Taking advantage of low-rank structure in approximation problems has been shown to prove advantageous for scaling numerical algorithms and computation to higher dimensions by mitigating the curse-of-dimensionality. The method we describe is […]