DSCI 636. Synthetic Project Capstone. 4 Credits.
Project-driven application of data science knowledge and skills. Students will gather, tidy, visualize, and analyze a large data set conducive to a predictive modeling problem. Curated data sets from biological and materials sciences will be provided by program faculty and colleagues. Key learning outcomes include a reproducible workflow published in a code repository, original design and implementation of a machine learning model, and communications of finding in a written report.
Requisites: Prereq: DSCI 531, DSCI 535, DSCI 632, DSCI 633, DSCI 634, PHIL 623.