ENGRD 2720

Last Updated

  • Schedule of Classes - February 7, 2022 11:35AM EST
  • Course Catalog - January 18, 2022 1:31PM EST

ENGRD 2720
Data Science for Engineers

Course information provided by the Courses of Study 2021-2022.

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, Spring.

Prerequisites/Corequisites Prerequisite: MATH 1920 and either CS 1110 or CS 1112.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECE 2720

  • 4 Credits Graded

  • 18027 ENGRD 2720   LEC 001

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  • Instruction Mode: In Person

  • 18028 ENGRD 2720   DIS 201

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  • Instruction Mode: In Person

  • 18029 ENGRD 2720   DIS 202

  •  

  • Instruction Mode: In Person

  • 18030 ENGRD 2720   DIS 203

  •  

  • Instruction Mode: In Person

  • 20286 ENGRD 2720   DIS 204

  •  

  • Instruction Mode: In Person