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.
This course is crosslisted with BIOMEDIN222 and CS273C
Prerequisites
- Familiarity with programming in Python and R
- Introductory Statistics
| Dates: | March 29 - June 4, 2021 |
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| Units: | 3.00 |
| Instructors: |
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| Delivery Option: |
Online
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| For Credit | $4,056.00 |
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Pre-registration for this course will secure your enrollment request and ensure timely processing of your application for potential course approval. Please note: course enrollment will be confirmed after March 19, 2021; after completing your pre-registration, no further action is required on your part.
This course may not currently be available to learners in some states and territories.
