Arizona State University - Experimental Design Basics
- Offered byCoursera
Experimental Design Basics at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Experimental Design Basics at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 4 in the Design of Experiments Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 13 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Experimental Design Basics at Coursera Course details
- This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today?s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively.
- All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course.
Experimental Design Basics at Coursera Curriculum
Unit 1: Getting Started and Introduction to Design and Analysis of Experiments
Instructor Welcome
Course Introduction
Specialization Overview
History of DOX
The Basic Principles of DOX
Factorial Designs with Several Factors
Course Description
Course Textbook and Resources
Best Practices in Online Learning (or How to Succeed in This Class)
Course Project
Unit 1 Introduction
Introduction to course project
Concept Questions
Unit 2: Simple Comparative Experiments
Comparative Experiments and Basic Statistical Concepts
The Hypothesis Testing Framework
Pooled t-test and Two-sample t-test
Pooled t-test and Two-sample t-test, pt 2
Hypothesis Testing on Variances
Paired t-test
Portland Cement Data Example
Florescence Data Example
Hardness Testing Example
Unit 2 Introduction
Concept Questions
Exercise 1
Unit 3: Experiments with a Single Factor - The Analysis of Variance
Analysis of Variance (ANOVA)
Models for the Data
ANOVA for Plasma Etching Experiment
Post-ANOVA Comparison of Means
Sample Size Determination
Examples of Single-Factor Experiments
The Random Effects Model
Example of Random Factor Experiment
Plasma Etching Example
Fabric Strength Example
Unit 3 Introduction: Experiments with a Singe Factor; the Analysis of Variance
Concept Questions
Exercise 2
Unit 4: Randomized Blocks, Latin Squares, and Related Designs
The Blocking Principle
Extension of the ANOVA to the RCBD
Example
Residual Analysis for the Vascular Graft Example
The Latin Square Design
Vascular Graft Example
Unit 4 Introduction: Randomized Blocks, Latin Squares, and Related Designs; techniques for handling nuisance factor is experiments
Concept Questions
Exercise 3
Unit 5: Project
Experimental Design Basics at Coursera Admission Process
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