HGEN 612. Data Science II. 3 Hours.

Semester course; 3 lecture hours. 3 credits. Prerequisite: HGEN 611/OVPR 611. This course builds upon the material introduced in the prerequisite and introduces advanced techniques for working with data and producing highly reproducible research. Students will expand their data science toolbox to include the Unix-based command-line environment and associated applications for manipulating data, automating workflows and recording incremental changes to research materials. Students will also dive deeper into R, learning more sophisticated programming methods for solving a wide variety of research-related challenges and placing more emphasis on programming technique -- writing code that is robust, expressive and modular -- culminating in the development of their own R packages, which allows other scientists to benefit from this work. Crosslisted as: OVPR 612.