Time Schedule:
Christina M. Mastrangelo
IND E 498
Seattle Campus
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
