Interdisciplinary
Title: Visualization of Quantitative Data.
Author: Dr. John Sieben
Department: Math Computer Science & Information Systems.
Abstract: Our data set is information on 150 used Ford automobiles. The student will be presented with data in tabular form and asked several questions about information that the data ostensibly can answer. The data is converted into graphic form and the same questions are asked.
Title: Where one lives matters when it comes to Covid-19.
Author: Dr. Reza Abbasian.
Department: Math Computer Science & Information Systems.
Abstract: In this project teams of students will attempt to determine the best predictor(s) for the number of Covid-19 infections. The project involves identifying sources of data and regression analysis where we build a model for the number of Covid cases per capita for a region (country or state) as a function of various predictors such as population density, Gross National Income (GNI), average age of the population, geography of the region, etc.
You will find modules within the following broad categories:
Each module has two components:
1) A student version which describes the project , sources of data, methodology and other information needed to complete the project.
2) An instructor's notes which includes additional information for the instructors.
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