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Instructor Class Description

Time Schedule:

Christopher S. Bretherton
AMATH 482
Seattle Campus

Computational Methods for Data Analysis

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression. Prerequisite: AMATH 301; either AMATH 352 or MATH 308. Offered: W.

Class description

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Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.

Last Update by Christopher S. Bretherton
Date: 01/04/2013