Essential Methods in Computational and Systems Immunology
Lecture
Main Campus
Course Description
Introduction to the major underpinnings of systems immunology: first principles of development of computational approaches to immunological questions and research; details of the algorithms and statistical principles underlying commonly used tools; aspects of study design and analysis of data sets. Prerequisites: CS106a and CS161 strongly recommended. No auditing allowed unless enrolled in the Immunology PhD program with approval from the instructor and Immunology Program Administrator.
IMMUNOL 207
Units: 3
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Typically Offered
Spring (even years)
Grading Basis
Medical Option (Med-Ltr-CR/NC)
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None
