Home

Bio 5075 Fundamentals of Biostatistics for Graduate Students

Work in the life sciences increasingly relies on large scale, quantitative data that requires basic computational and statistics skills. This course is an introduction to basic Python and statistical concepts used in molecular genetics and genomics, aimed at first-year DBBS students. The format emphasizes practical problem-solving skills by teaching both core statistical concepts, such as hypothesis testing, confidence intervals, bootstrap simulation, and power analysis, as well as computational methods to implement them. The goal of the course is to prepare students for more advanced coursework, as well as self-teaching during their research careers.

Instructors: Mike White and Tychele Turner, Department of Genetics

 

Teaching Assistants: Aparna Anand, Chika Fujii

 

Classes are held Tuesdays from 3:00 – 4:30 pm in Erlanger classroom (McDonnell Sciences Building)

 

Office hours with TAs and instructors are by appointment.

Requirements: You will need a laptop with the free Anaconda Python distribution installed (available here). A laptop will be required for in-class work during the computation lectures (see syllabus). If you are an enrolled student and need to borrow a laptop for the class, please contact the instructors. (We cannot lend laptops to auditing students.)

For any questions, email the TAs and instructors at: bio5075-admin@lists.genetics.wustl.edu