This course is a high-paced introduction to Topological Data Analysis (TDA), a fast-evolving field that focuses on identifying and analyzing the shape (topology) of data. TDA provides tools and concepts to analyze and understand complex high-dimensional datasets. The course will primarily focus on the theoretical aspects of TDA.

Apply numerical methods and the associated applied mathematics to problems in Strength of Materials.

Diagnosis and management of turfgrass diseases. Diagnosis techniques and appropriate cultural, chemical, genetic, and biological management strategies.

This course fills the JYW requirement.

Not available at this time

Not available at this time

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.