Design and Statistical Analysis of Experiments

  • Mechanical Engineering |

Description

This course covers advanced topics in experimental design and analysis. It provides the research student with the essential tools for design different types of experiments from the statistical point of view. These tools are vital to give the test results the required confidence and make it comparable.

Program

Doctor of Philosophy (PhD) in Mechanical Engineering

Objectives

  • Introduce different tools for experimental data analysis.rnIntroduce a number of experiment design methods.

Textbook

Data will be available soon!

Course Content

content serial Description
1Introduction and revision for the basics of probability and statistical methods
2Randomization and Design
3One-way ANOVA
4Threats to experiments
5Linear Regression
6Analysis of Covariance
7Two-way ANOVA , 7Th week evaluation
8Two-way ANOVA
9Statistical Power
10Factorial Analysis
11Factorial Analysis
12Two-way ANOVA, 12th week Evaluation
13Accelerated life test designs
14Nonlinear designs
15Taguchi Designs
16Final

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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