From CS 795 Fall 2012

CS795-F12: Semester Project

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Report Due: Fri, Dec 7, 2012 by 11:59pm
Presentation/Demo: Sat, Dec 8, 2012 during exam time

Added link to contest webpage (with full dataset) 10/9 -MCW


The US Air Force is interested in detecting emerging technology trends. One topic they are interested in is quantum sensing (see Quantum Sensing at Sandia National Labs for an overview).

You will be provided with a dataset of publications resulting from searches on key "Terms of Art" in quantum sensing. The citations will provide a minimum initial set of data. You are encouraged to gather more data through further search of publication full texts, web-based searches (Google trends, Google public data), etc.

The task is to produce an innovative visualization of the emergence, growth, and potential future of the field of quantum sensing. The visualization may be a static infographic or an interactive visualization.

This project also can qualify as an entry in a campus-wide contest open to all ODU students. You are encouraged to create a team and enter your project in the contest, which runs through December 14, 2012. The winning entry will provide the best experience for a decision maker to evaluate his/her strategic level of investment - in time, attention, or resources - in Quantum Sensing technology.


Details on the full database will be made available next week. (See Infographics Contest page for full data set)

See "Preliminary Quantum Sensing Database" under Modules on our Blackboard page. This file contains publication counts related to quantum sensing for various categories. The Excel file has columns for total publications and publications per year (1998-2008) in each of the following categories:

In the section labeled “Descriptors by Year” you will find a long list of ‘Terms of the Art’ in all-things-quantum. This data can be filtered on quantum sens –ing, –or, –ors, etc., (and any terms of art related to QS, such as Quantum dots, etc.) to provide a year-to-year record of published paper ‘events’ (that is, a full text publication with the term occurring in it at least once = one ‘event’) in QS. The “Descriptors by Year” data can be a start, as nearly every event should (!) appear in the official competition database.

In comparison to the “Descriptors by Year”, the official competition database will include:

Adventurous teams will want to, perhaps, consider looking at trends in QS-related researchers, lab sites, investments, patents, conferences, etc. To compete well in the competition, students should build teams, e.g., including full-text data miners, to propel their best competition entry.


Students should work on a project in teams of 1-2.

For the purposes of the contest, you may also work with students outside of this class. If this is done, you must provide an accounting of what parts of the project you personally contributed and which parts were contributed by outside students.

Important Milestones

You are welcome to meet with me as needed to discuss your progress and any issues that arise.



See Process and Pitfalls in Writing Information Visualization Research Papers by Tamara Munzner


I will evaluate the overall quality of your project, including all milestones and components. The following questions will be important during that evaluation process:

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Page last modified on October 09, 2012, at 02:39 PM