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Current
Aug 23, 2019
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CSC 343 - Big Data Programming/Mgmt
Big Data Programming and Management
Prerequisite: CSC 341 and permission of the department chair

The analysis of Big Data - datasets that are too large or complex to be handled using traditional data storage and processing tools - drives discovery and innovation in science and industry. This course introduces students to the challenges posed by Big Data, along with the theory, systems, and algorithms used to manage and process large data sets in a parallel and distributed fashion. Students are exposed to theoretical and applied topics in parallel and distributed processing, data models, scalable computing and programming models, and levels of abstraction for Big Data processing. The course discussed specific platforms and teaches students how to effectively design and develop Big Data applications.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science Department

Prerequisites:
Prerequisite CSC 343

General Requirements:
Course or Test: CSC 341
May not be taken concurrently.

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