Data Science

Special topics course offered in response to student and faculty interest.

A general introduction to data analysis that covers a broad selection of methodologies for working with data. Topics will be chosen from sources of data, exploratory data analysis, data visualization, cleaning and preparing data, inference, and regression. Students will use statistical analysis technology. Particular topics related to analyzing data, such as ethics and communication of results, are highlighted. 

Special topics course offered in response to student and faculty interest.

This course will provide opportunities for freshmen and sophomores to participate in original research in data science. Students will submit findings in a written report and/or will give a presentation. Students will be expected to work approximately three hours per week on the research project for each semester hour of credit.

Implementation of principles and techniques of data science, including advanced programming projects. Topics will be chosen from data visualization, data wrangling and cleaning, regression, and classification. Industry best practices, such as ethical decision-making and communication of results, will be discussed.

Special topics course offered in response to student and faculty interest.

A general introduction to machine learning that covers the theoretical foundations of various supervised and unsupervised learning techniques, as well as principled methods for assessing and comparing models. Emphasis is placed on practical applications via programming assignments in a high-level language.

Topics chosen from current topics in data science. May be repeated for credit.

Supervised experience in business, governmental, or non-profit institutions where work is related to student interest in data science. May be repeated for a total of 3 credit hours. Pass/fail grading only.

 

Topics chosen from current topics in data science. Prerequisites vary with the topics studied. May be repeated for credit.

Special topics course offered in response to student and faculty interest.

With a faculty mentor, the student will formulate and execute an original research project in data science that will culminate in a paper and a presentation. The research project must meet Honors Program thesis requirements as well as the expectations of the faculty mentor.

With a faculty mentor, the student will formulate and execute an original data science research project that will culminate in a paper and/or a presentation.