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STA643 : Experimental Designs

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Course Info
Course Category	Probability & Statistics
Course Level	Undergraduate
Credit Hours	3
Pre-requisites	N/A
Instructor	Dr. Tanvir Ahmed Post doctorate

Course Contents
A Review of Experiment And Design of Experiments How to Plan an Experiment Principles of DOE Difference Between two Independent Samples and Paired Comparison Design Types of Model, Cochran’s Theorem Model Adequacy Checking Tools Non-Parametric Methods in Analysis of Variance Performing Multiple Comparison Tests Basic Experimental Design Concept of Blocking Introductory Understanding of Factorial Designs Application of Fractional Factorial Designs Application of 3k Factorial Designs The Interaction Components and Relative Degrees of Freedom Nesting Factors Inside Another Factor Understanding the Split-Plot Designs Their Derivatives and the Basis for Each Approach Mixed Level Factorial Design Response Surface Methodology (RSM) Variance Optimal First Order Design Prediction Variance Least Squares Method Screening Stage of RSM Cuboidal Region Spherical Region Rotatabililty Design Moments Contour Plot 3D Response Surface Plot Central Composite Design Box-Behnken Design (BBD) Small Composite Design (SCD) Alphabetic Design Optimalities Variance Dispersion Graphs Tradeoff Between Different Optimality Criteria Orthogonal Blocking in Second Order Designs Use Of Statistical Software in DOE