December 2012

CS 5764: Information Visualization

Graduate course on the topic of Information Visualization, typically offered once a year.

Website for earlier sections of this class is here:

The website for new sections is on Scholar.

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CS 6604: Visual Analytics

Graduate special topics course on Visual Analytics. This course takes a look at the practice of visual analytics, including the use of structured analytic techniques used by practitioners, as well as the research issues in analytical reasoning, visual representations and interaction, and data transformation.
Website on Scholar.

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CS 6724: Display Wall User Interfaces

Graduate special topics course on user interface issues for large high-resolution displays:

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Congratulations Graduates!

Alex Endert (PhD), Kevin Logan (MS), Ji Wang (MS) receive degrees in December graduation ceremony.

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User Interfaces

Undergraduate courses:
* CS 3724: Intro to HCI
* CS 3744: User Interface Programming

Workshop on User Interface Programming in Java and C#:

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MS Theses

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PhD Dissertations

  • Tianyi Li, "Solving Mysteries with Crowds: Supporting Crowdsourced Sensemaking with a Modularized Pipeline and Context Slices", June 2020.
    Assistant Professor, Department of Computer Science, Loyola University Chicago.
  • Moeti Masiane, "Insight Driven Sampling for Interactive Data Intensive Computing", May 2020.
  • Michelle Dowling, "Semantic Interaction for Symmetrical Analysis and Automated Foraging of Documents and Terms", May 2020.

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Analyst Workspace: An Embodied Sensemaking Environment for Large, High-Resolution Displays

Distributed cognition and embodiment provide compelling models for how humans think and interact with the environment. Our examination of the use of large, high-resolution displays from an embodied perspective has lead directly to the development of a new sensemaking environment called Analyst’s Workspace (AW). AW leverages the embodied resources made more accessible through the physical nature of the display to create a spatial workspace.

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Pixel-Oriented Treemap for Display Ecologies

The data set for the VAST Challenge 2012 Mini Challenge 1 (MC1) requires a large scale situation awareness analysis to understand a large data set containing the network health and activity status of approximately one million online devices for three days. One of the tables in the dataset contains 158,530,955 records and the devices can be ordered by hierarchically based on business units and facilities. So the main visualization challenge was to support very large quantities of hierarchical information.

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Inspecting and Visualizing High-fidelity Terrain Data with Large-High Resolution Displays

The Vehicle Terrain Measurement System (VTMS) allows highly detailed terrain modeling and vehicle simulations. Visualization of large-scale terrain datasets taken from VTMS provides insights into the characteristics of the pavement or road surface. However, the resolution of these terrain datasets greatly exceeds the capability of traditional graphics displays and computer systems.

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