Data Science for Engineers.

Catalog description

Semester course; 3 lecture hours (delivered online, face-to-face or hybrid). 3 credits. Prerequisite: MATH 131 , MATH 139 , MATH 141 , MATH 151 , MATH 200 or MATH 201 or a satisfactory score on the VCU Mathematics Placement Test within the one-year period immediately preceding the beginning of the course. Introduction to the core concepts of data science for engineering students with an emphasis on outcomes of the application of data science to broad engineering problems. Students will gain practical skills in exploratory analysis to define problems and goals; application of statistics to knowledge discovery by way of general techniques in data science, such as data acquisition, data processing, data summaries, classification, clustering and regression analysis; and techniques to generate models in a variety of domains including signal and image processing. Students will learn to use Python and Matlab for data acquisition, processing and analysis. The course is designed for students with limited background in computer programming and is not applicable toward the B.S. in Mathematical Sciences.