Provides an in-depth overview of data science in engineering. Topics include modeling, storage, manipulation, integration, classification, analysis, visualization, information extraction, and big data in the engineering domain. Course Information: 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): Grade of C or better in CS 251; and STAT 381 or IE 342 or ECE 341.
...following: CS 342 , CS 411 , CS 412 , CS 418 , CS 422 , or MCS 401 / CS...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
...Data Processing, Science, and Engineering. c CS 418 and CS 480 must be taken for...
Print this page.