Projects

You can have a look at the scope of some projects from 2019 and 2022

This class requires a presentation and a report for a final project. Final projects are team-based with teams consisting of 3 to 5 members.

For the final project you are asked to create an R package. You are free to choose package functionality, but there should be

You are asked to present your work as a team in one of the speaking slots during dead week and finals week. Each team member is supposed to present for about 5 mins.

There are several stages to the project. Only the last two stages are graded. All other stages are not graded. You should use them as an opportunity to get feedback. For stages 1-3 feedback will be given as soon as you submit your contribution, i.e. you don’t have to wait until after Spring break to submit your project idea.

Abstract and Presentation slots

We will be using the following project rubric for evaluating the final submission. Presentations are peer-evaluated. Feedback will be given in this form.

Presentations are scheduled for May 2 and May 4 during our regular class time, 2:10 - 3:25, and Thursday, May 11 12-2:00 pm during Finals Week.

Tuesday, May 2

Date Title Author
May 2, 2023 14:15 - 14:25ish aRcGeo: initializing arcGIS and arcpy connections Harun Celik
May 2, 2023 14:30 - 14:45ish PaperSearch: Web-scraping Research Articles for Information Sabrena Rutledge, Kundan Kumar
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Thursday, May 4

Date Title Author
May 4, 2023 14:15 - 14:40 Valid highest density intervals Yichuan Bai, Caio dos Santos, An Phan, Yingchao Zhou
May 4, 2023 14:45 - 15:05 Methods for computing score-based likelihood ratios (SLRs) with dependent data Valerie Han, Marie Hardt, Anyesha Ray
May 4, 2023 15:15 - 15:30 Photopal Muxin Hua and Tyler Wiederich
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Thursday, May 11

Date Title Author
May 27, 2023 12:10 - 12:25 TriDecomp: an extension of the package ‘handwriter’ Alexandra Arabio, Ian Parzyszek
May 11, 2023 12:25 - 12:35 No Freeze Growing Window for Corn Gino Beltran
May 11, 2023 12:35 - 13:00 foodRecall: Interface to access and visualize food recall data from the openFDA API Logan Johnson, Kelly Nascimento Thompson, Charchit Shukla, and Matthew Kavanaugh
May 11, 2023 13:00 - 13:15 homefield: querying, visualizing, and analyzing regional relevance Landon Getting, Sudesh Bhagat
May 11, 2023 13:15 - 13:35 MIFilter: Efficient Feature Selection for Classification Models with High Correlation Motahareh Kashanian, Parvin Mohammadi, Atefeh Anisi
May 11, 2023 The title of our talk First Author, Second Author, Third Author
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