Course Synopsis

This course is designed to provide students the fundamental skills for effective statistical programming. Students will learn to use R (a statistical programming language) for data manipulation, summarization and analysis. Topics will include programming syntax and data structures, generation of scientific graphics, writing functions, debugging and testing, programming paradigms, simulation and optimization. Students will also be introduced to LaTeX, Markdown and knitr for report writing, version control using Git, and basic SQL programming.

Prerequisites: Some introductory undergraduate statistics or permission of instructor.

Instructors

Cole Beck, BSc, Principal Application Developer

Robert Greevy, PhD, Associate Professor of Biostatistics

TA: Marisa Blackman, PhD Student, Biostatistics

Lecture hall

Room 11105, 11th floor, 2525 West End Avenue

Zulip

All class communication will take place using Zulip. Students will be invited to join the private #bios6301-2023 stream.