Subject: Biological & Medical Informatics
Course Number: 208
Course Title: Computational Evolutionary Genomics
School: Graduate Division
Department: Biological And Medical Informatics Program
Course Description: In this course we will take an evolutionary approach toward understanding patterns of genetic variation, focusing on computational methods commonly implemented in population and comparative genomics. We will consider the role of evolutionary processes in shaping patterns of human disease susceptibility. Each week we will read papers from the literature and discuss/implement their computational methods.
Prerequisites: BIO MD INF 206 or other bioinformatics background with instructor approval.Familiarity with programing using the R statistical package (understanding of basic loops, ability to define variables, write functions, and perform basic statistical tests).
Restrictions: Programming experience helpful but not required.
Activities: Direct - Lecture, Direct - Lab-Skills, Student - Lecture
Instructor of Record: R. Hernandez
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No
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