Events

  • 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 […]

  • 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 […]

  • Intro to SQL

    Modern Languages Building (MLB), Room 2001A

    Ever want to know how to communicate with a database? You need to know SQL, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will […]

    Linear regression analysis in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression, and how to interpret a fitted linear model.  We will then discuss methods for fitting more complex models with larger data sets, including the use of interactions, dummy-coding of categorical […]

    Introduction to Stata

    Modern Languages Building (MLB), Room 2001A

    Topics: By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system. Get data into Stata and manage your data files Establish familiarity with your data Clean the data to prepare it for analysis Check for basic errors in the data Generate new variables […]