Natural Science 0230 - Confronting Questions with Data - Div II Project Seminar

Many hypotheses and questions are best addressed through the careful collection and analysis of data. This course will guide students in the development and execution of a data-driven, Division II supported project. Students will identify a relevant question that can be addressed through data analysis, they will identify sources of data, they will design an appropriate methodology, they will analyze their data, and they will write up and present their results. In the process, they will learn how to validate their methods, how to graphically and statistically present data and results, and how to effectively write up the results of a data-driven research project. They will also develop valuable assessment skills as they serve as reviewers for their peers. Course level will be determined by the analysis methods students wish to use ranging from descriptive statistics to machine learning and modeling.

Students should expect to spend 6-8 hours weekly on work and preparation outside of class time.