Events

  • Stata: Data Manipulation

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    This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata. (10/19 2-3:30) Section 2: Working with Data Sets – Importing, opening, and saving data sets. (10/21 2-3:30) Section 3: Data Management – The basics […]

  • Image Segmentation using Deep Learning with FastAI

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    This workshop will demonstrate how to perform image segmentation using the FastAI Python library, which is built on the deep learning library PyTorch. Some familiarity with Python is expected, but no previous experience with FastAI or PyTorch is needed. The workshop will be done online via BlueJeans. We will run the code using Google Colab, which requires a […]

    Advanced Graphics Optimization For Data Visualization In Unity3D

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    BlueJeans link will be shared with registered attendees 24 hours before start Modern 3D game engines and computer hardware can render convincing graphics, rivaling that of pre-rendered 3D animation. But video games still require special optimization techniques and tricks. This relates directly to perceived capabilities for data visualization and serious applications: we can generate and […]

    Map making in R

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    The focus of the workshop is twofold: to learn cartography principles for generating single and multivariable choropleth maps, and explore functionalities of R for generating static and interactive web maps. We will use the COVID19 data available at (https://github.com/nytimes/covid-19-data) and combine it with information from Census and other sources to visualize spatial patterns and make […]

  • Introduction to Deep Neural Networks with Keras/TensorFlow

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    Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs, as well as image classification using Convolutional Neural Networks (CNNs). We will also look […]

    Using Distill for R Markdown

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    There are a variety of formats available for R markdown beyond 'standard html', one of which is Distill.  Distill is specifically oriented toward presentation of results, and offers a clean look with additional capabilities for citations, marginal exposition, and more.  One can even build an entire website or blog with this format.  This workshop will provide […]

    Spatial regression models

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    This lecture-style workshop will introduce relevant concepts and techniques for modelling cross-sectional data observed on regular (such as remote sensing pixels) or irregular (such as Census polygons) lattice. Such data often exhibits spatial dependence and is common across several fields. We will cover the following topics: motivating examples from time series; spatial random fields and […]

  • GIS Fundamentals – I (Coordinate systems)

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    This is the first workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is self-contained. The focus is on conceptual details that can provide sufficient understanding for applications, but we will also touch upon the technical aspects. […]

    Advanced Graphics Optimization For Data Visualization In Unity3D

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    Modern 3D game engines and computer hardware can render convincing graphics, rivaling that of pre-rendered 3D animation. But video games still require special optimization techniques and tricks. This relates directly to perceived capabilities for data visualization and serious applications: we can generate and render thousands of interactive objects. But what about millions? This workshop will […]

    Introduction to SPSS: Basics of SPSS

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    Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ Section 1: Basics of SPSS (1/20, 10am – 12pm) Section 2: Variables (1/27, 10am – 12pm) Section 3: Data Management (2/3, 10am – 12pm) Section 4: Basic Statistical Analysis (2/10, 10am – 12pm) It is strongly encouraged to have SPSS installed on your […]