This course introduces students to advanced coding concepts using real data and to data ethics. Throughout the course, students work on a replication project that requires students to replicate results from a peer-reviewed manuscript. Students are given a large, raw, and messy dataset and then make proper decisions on which observations and variables to include. During the replication process, students must clean the data, create new variables, and analyze the data per the original article. Achieves technology student learning outcomes a, b, and d.

View STS 3300 in the Academic Catalog

Approved for Data Intensive Course Designation starting Spring 2024.