Portfolio item number 1
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Short description of portfolio item number 1
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Lightning talk (3 slides) at the NEH ODH Project Directors’ Meeting Read more
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Invited presentation to the Web Archiving Team at the Library of Congress Read more
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Presentation of ACM TOIS paper at SIGIR 2019 Read more
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Course lecture slides from asynchronous CS 432/532, first used in Fall 2020
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Project intro presentation for students in the 2022 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Workshop presentation for students in the 2022 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Workshop presentation for students in the 2022 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Telling the story of Hurricane Katrina using mementos of CNN.com from the Wayback Machine (explanatory blog post) Read more
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Invited talk as part of the 2022 NLM History Talks series Read more
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Invited talk as part of the ODU Panel discussion “How are Misinformation & Disinformation related to you?” Read more
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Invited talk at the Lucy Family Institute for Data & Society, University of Notre Dame Read more
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Project intro presentation for students in the 2023 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Workshop presentation for students in the 2023 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Catalog Description: Provides an overview of the World Wide Web and associated decentralized information structures, focusing mainly on the computing aspects of the Web: how it works, how it is used, and how it can be analyzed. Students will examine a number of topics including: web architecture, web characterization and analysis, web archiving, Web 2.0, social networks, collective intelligence, search engines, web mining, information diffusion on the web, and the Semantic Web. Prerequisites: A grade of C or better in CS 361 and CS 330. Read more
Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more
Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more
Catalog Description: Introduction to research methods in computer science. Topics include academic publishing, academic writing, literature reviews, responsible conduct of research, and presenting research results. Research faculty will present overviews of their research and how research is conducted in their labs. Read more
Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more
Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more
Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more