Students will be introduced to foundational philosophies and strategies for qualitative data analysis, coding their own data sets in weekly workshop and discussion settings. Strategies will be presented for setting up and organizing a database, coding and sorting data into categories, modifying and refining the scheme, aggregating data into larger themes or patterns, establishing audit trails, triangulating among data sources, participants and methodologies, and establishing trustworthiness of the data set.

In this class, students will acquire hands-on and/or applied experience in diverse aspects of the research process in any field of Chemistry under the direction and supervision of a faculty advisor. Typically, these projects are related to the research program of the advisor. Student experiences often include: familiarizing themselves with a research topic, generating interesting questions, designing experiments, acquiring technical and instrumentation skills, collecting and analyzing data, writing and/or presenting their results.

Performance study - individual instruction.

This course includes methods for choosing, fitting, evaluating, and comparing statistical models; introduces statistical inference; and analyzes data sets taken from research projects in the natural, physical, and social sciences.