ECE 2720

Last Updated

  • Schedule of Classes - January 31, 2019 7:14PM EST
  • Course Catalog - January 31, 2019 7:15PM EST

ECE 2720
Data Science for Engineers

Course information provided by the Courses of Study 2018-2019.

An introduction to data science for engineers. The data science workflow: acquisition and cleansing, exploration and modeling, prediction and decision making, visualization and presentation. Techniques for different steps in the workflow including outlier detection, regression, change-point detection, and classification. An introduction to probability, focusing on Gaussian distributions and linear models. Methods for combining domain-agnostic data analysis tools with the types of domain-specific knowledge that are common in engineering. Programming projects in Python.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: MATH 1920; CS 1110 or CS 1133.

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Syllabi:

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 18628 ECE 2720   LEC 001

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  • 18629 ECE 2720   DIS 201

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