Data processing and visualization is increasingly important in today’s data driven world, where proper management of data can facilitate the integration and evaluation of systems and projects. The goal of this class is to provide engineers with practical and applicable data science skills, including data aggregation and filtering, intuitive data exploration, effective communication of patterns, summaries, and findings, and methods of archiving for data sharing or future use. This class combines principles and theories of information visualization and data management with implementation techniques centered around the R statistical software program. Previous experience with R is not required, but a basic working knowledge of, or willingness to learn, will help students in this class.
Credit not allowed for both ENGR 580a5 and SYSE 541.
Prerequisite
ECE 303 or STAT 303 or STAT 315.
Instructors
Erika Miller
erika.miller@colostate.edu
Dr. Erika Miller is an assistant professor in the Mechanical Engineering Department and the Systems Engineering Program at Colorado State University. Her research focuses on driver behavior within transportation systems, the interaction of humans with autonomous systems, human-machine trust, the integration of human factors and automation within systems, and safety analysis. Her education and research background is in civil engineering, industrial & systems engineering, and transportation systems. Dr. Miller received her B.S. from Oregon State University and her M.S. and Ph.D. from the University of Washington.
Learn more at: http://www.engr.colostate.edu/se/erika-miller/
