Course Description
Big Data is radically transforming healthcare. To provide real-time personalized healthcare, we need hardware and software solutions that can efficiently store and process large-scale biomedical datasets. In this class, students will learn the concepts of cloud computing and parallel systems' architecture. This class prepares students to understand how to design parallel programs for computationally intensive medical applications and how to run these applications on computing frameworks such as Cloud Computing and High Performance Computing (HPC) systems. Prerequisites: familiarity with programming in Python and R.
GENE 222
Units: 3
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Typically Offered
Not Available
Grading Basis
Medical Option (Med-Ltr-CR/NC)
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None
