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Spring 2018 Semester
Mar 24, 2019
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Information Select the desired Level or Schedule Type to find available classes for the course.

EECE 2300 - Computational Methods for Data Analytics
Introduces the programming tools, algorithms, and software tools used in data analytics. Offers hands-on experience working with statistical software/packages and scripting languages and shows students the power of computational tools. Covers concepts of correlation, regression analysis, classification, and decomposition. Includes example data-oriented applications taken from multiple science/engineering disciplines and applies linear algebra and probability to analyze actual data sets. Students not meeting course prerequisites may seek permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Electrical and Comp Engineerng Department

Course Attributes:
Engineering

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
Undergraduate level GE 1111 Minimum Grade of D- or Undergraduate level GE 1502 Minimum Grade of D- or Undergraduate level CS 2510 Minimum Grade of D-

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