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Big Data Systems or return to Course Catalog Search

CSCI E-265 (24598)   

SchoolDepartmentFaculty
Harvard Extension SchoolComputer ScienceStratos Idreos PhD, Associate Professor of Computer Science, Harvard University
TermDay and Time
Spring Term 2020  (show academic calendar)See course description
Credits
4
Credit Level
Graduate

Description
Big data is everywhere. A fundamental goal across modern business and science is to be able to utilize as many machines as possible, to consume as much information as possible and as fast as possible. The big challenge is how to turn data into useful knowledge. This is a moving target as both the underlying hardware and our ability to collect data evolve. In this course, we discuss how to design data systems, data structures, and algorithms for key data-driven areas, including relational systems, distributed systems, graph systems, noSQL, newSQL, machine learning, and neural networks. We see how they all rely on the same set of very basic concepts and we learn how to synthesize efficient solutions for any problem across these areas using those basic concepts.<br /> <br /> Prerequisites: CSCI E-61, and CSCI E-66 or CSCI E-165, or the equivalent.

Notes
Online.<br /> <br /> Optional sections to be arranged.<br /> <br /> The recorded lectures are from the Harvard John A. Paulson School of Engineering and Applied Sciences course Computer Science 265. Registered students can ordinarily live stream the lectures Mondays and Wednesdays, 10:30-11:45 am starting January 27 or they can watch them on demand. Videos are available within 24 hours of the lecture.<br /> <br /> Graduate credit $2,840.<br /> <br /> See <a href="http://www.extension.harvard.edu">http://www.extension.harvard.edu</a>

 
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