Go to Main Content

SCT WWW Information System

 

HELP | EXIT

Detailed Course Information

 

Fall 2017 Semester
Nov 19, 2017
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

CS 6240 - Large-Scale Parallel Data Processing
Covers big-data analysis techniques that scale out with increasing number of compute nodes, e.g., for cloud computing. Emphasizes approaches for problem and data partitioning that distribute work effectively, while keeping total cost for computation and data transfer low. Studies and analyzes deterministic and random algorithms from a variety of domains, including graphs, data mining, linear algebra, and information retrieval in terms of their cost, scalability, and robustness against skew. Course work emphasizes hands-on programming experience with modern state-of-the-art big-data processing technology. Students who do not meet course prerequisites may seek permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      Coll of Computer & Info Sci

Prerequisites:
Graduate level CS 5800 Minimum Grade of C- or Graduate level CS 7800 Minimum Grade of C-

Return to Previous New Search
Transparent Image
Skip to top of page
Release: 8.7.2