Module 1

Exploratory Data Analysis

Univariate Data
Bivariate Data
Multivariate Data
Fitting Distributions to Data
Other Properties of Distributions and Their Evaluation

Regression Modeling and Analysis

Simple Linear Regression
Multiple Regression
Nonparametric Transformation and Regression
Field Application for Nonparametric Regression

Module 2

Multivariate Data Analysis

Principal Component Analysis
Cluster Analysis
Discriminant Analysis
Field Application: The Salt Creek Data Set

Module 3

Uncertainty Quantification

Uncertainty Characterization
Uncertainty Propagation
Uncertainty Importance Assessment
Moving Beyond Monte Carlo Simulation
Treatment of Model Uncertainty
Elements of a Good Uncertainty Analysis Study

Module 4

Experimental Design and Response Surface Analysis

General Concepts
Experimental Design
Metamodeling Techniques
An Illustration of Experimental Design and Response Surface Modeling
Field Application of Experimental Design and Response Surface Modeling
Module 5

Data-Driven Modeling and Performance Predictions

Introduction
Modeling Approaches
Computational Considerations
Unconventional Field Examples

Discussion and Wrap-up

Key Takeaways
Final Thoughts