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Instructor Class Description

Time Schedule:

Christina M. Mastrangelo
IND E 498
Seattle Campus

Special Topics in Industrial Engineering

Lecture and/or laboratory.

Class description

Applied Data Analysis: This course shows how to convert observational data into information for decision-making. We refer to this process as information acquisition. To accomplish information acquisition the course shows how to use engineering principles to build mathematical models from observational data. The course emphasizes the use of regression models and shows their applicability for understanding, prediction, and estimation. Models discussed include multiple linear regression with qualitative and quantitative variables, logistic regression, time series methods, and hierarchical clustering. The course will concentrate on both the theory and practice of model construction. Assignments will include the opportunity to construct models with real data.

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 Jennifer Wallace Tsai
Date: 05/18/2009