Subject: Biomedical Sciences
Course Number: 225A
Course Title: Biostatistics and Computational Biology
Units: 2.5
School: Graduate Division
Department: Biomedical Sciences Program

Course Description: This course provides a module-based overview of the biostatistical ideas and tools needed to work as a biomedical researcher. The course includes classes in Unix, Python and R. Other modules cover study designs, summarizing data, distributions, hypothesis testing, using R for biostatistical analysis, performing and reporting reproducible analysis, multiple test correction, and practical considerations for outliers and robust statistics.
Prerequisites: None.
Restrictions: Admission to UCSF Graduate Program or permission of instructor.
Activities: Direct - Lecture, Direct - Workshop, Direct - Discussion, Student - Lecture, Student - Workshop, Student - Discussion

Instructor of Record: A. Ferguson
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? Yes

Quarter(s) Offered: Fall
Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No