EE 60596 - Data Analysis and Modeling in the Real World

Institution:

University of Notre Dame

Subject:

Electrical Engineering

Description:

Standard undergraduate treatments of data analysis and modeling include important basic ideas of regression and goodness of fit. However, several significant real-world issues are rarely addressed adequately in these introductory courses. This course will discuss many of the problems scientists and engineers routinely encounter when dealing with data and will provide rigorous methods for handling them: measurement uncertainty analysis, data flyer removal, impact of sampling on model quality, dealing with correlated inputs, and residual analysis. In the end, students should have the tools necessary to answer one of the foundational questions of science: given two competing scientific models (theories), does the data contain sufficient information to choose one over the other?

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.nd.edu

Phone Number:

(574) 631-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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