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Final Project Pitch

Nicole Connell, Rebecca Hicke, Brooke McKelvey

Our project will be creating a network from a text analysis that displays the relationships between departments and professors through co-taught classes.

Our data is composed of classes with multiple professors and comes from the past twenty years of academic catalogs (1999-2000 to 2019-2020) which are in the archives and on Enroll.

For the first ten years of academic catalogs, we will have to manually go through the catalogs in the archives to locate classes that have multiple professors. For the final ten years, we will take the PDF versions of the academic catalogs online and convert them to text files. We will then write and run a python script that identifies classes with multiple professors. Once we have a complete list of classes that have been co-taught, we will cross-check them on Enroll, then clean that data. Once it’s readable, we will upload it to Gephi and compile a network.

The network will be composed of nodes for each professor that are colored by department, and edges that denote co-taught classes (the thickness is the frequency of co-taught classes between the two professors). Each node will have information about the class or department, and we will add other pop-ups if necessary.

Our goal is to have all of the data compiled by 8th Friday, clean the data by 9th Tuesday, and build the network by 9th Thursday.

Six Degrees of Francis Bacon

bl.ocks.org

5 replies on “Final Project Pitch”

[…] For our final project, our group is planning on looking at the co-taught courses over the last 20 years and use network analysis to (hopefully) better understand what departments are are more likely to have co-taught classes, if there are certain professors that co-teach more frequently, and if co-teaching happens more frequently intra-departmentally or inter-departmentally. A more complete project proposal can be found here: http://medhieval.com/classes/hh2020/uncategorized/final-project-pitch/ […]

Team Team Teaching,

I’m VERY excited about this Network Visualization project, which is something that hasn’t been done in this class before. Your proposal is clear and your data and tools are nicely articulated.

A few thoughts: 1) do you plan on anonymizing the final data visualization? Checking with relevant professors and university administrators is always called for when dealing with living human subjects. 2) Beyond the visualization, what information and conclusions will you draw out? The Bacon project has a lot more information on people and their communities than the film project you reference. The deeper you can go on the analytical side the richer the project will be. I’d suggest checking out Homesteading the Plains as a good example of rich humanistic interpretation of network analysis.

Looking forward to seeing the project progress!

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