Subject: Developmental & Stem Cell Biology
Course Number: 225
Course Title: Programming and Statistics
Units: 2
School: Graduate Division
Department: Developmental And Stem Cell Biology Program

Course Description: An integrated overview, divided into three modules, of the essential biostatistical ideas and tools needed to work as a biomedical researcher. The first two modules include an overview of statistics theory, instruction in data organization best practices, quantitative image analysis, and data presentation. The third module will introduce Python programming and provide an introduction into analysis of large genomic datasets, including bulk RNAseq data and single cell RNAseq data.
Prerequisites: none
Restrictions: Students who are not in a UCSF graduate program must get permission from the instructor to take the course.
Activities: Direct - Lecture, Student - Lecture

Instructor of Record: T. Nystul
Additional Instructor(s): D. Wagner
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? Yes

Quarter(s) Offered: Winter
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
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