Good Afternoon,

ENGRD/ECE 2720: Data Science for Engineers, has just been approved as a new math elective option. If taken, this course will also fulfill the probability and statistics requirement.

The course description is below:

Fall. 4 credits. Letter grades only.

Prerequisite: MATH 1920 and either CS 1110 or CS 1112.

A. Wagner.

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.