Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Experimental Design Basics Online Course is a specialized course available on the Coursera platform that discusses the methods of planning, designing, and conducting design experiments. The intermediate-level course will explore design and statistical analysis in the industrial world.
Through the Experimental Design Basics Certification Course, learners will be introduced to the most effective ways to plan and analyse design experiments. The course will be instructed by Professor Douglas C. Montgomery from Arizona State University.
After completing the Experimental Design Basics Live Course through course videos, academic readings, graded assignments, and exams, learners will get access to a shareable certificate of completion.
The Highlights
- Shareable certificate
- Flexible deadlines
- 100% online
- 12 study hours
- Video lectures
- Quizzes and practice exercises
- Academic readings
- Graded assignments
- Peer feedback
- English medium
- Financial aid
- Subtitles in English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish.
Programme Offerings
- Digital Shareable Certificate
- Flexible Deadlines
- 100% Online
- English medium
- English Subtitles
- financial aid
- video lectures
- quizzes
- Practice Exercises
- Academic Readings
- Graded Assignments
- 12 Study Hours
- peer feedback.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The fees for the course Experimental Design Basics is -
| Description | Amount in INR |
| Experimental Design Basics - Audit course | Free |
| Experimental Design Basics - 1 month | Rs.4,117 |
| Experimental Design Basics - 3 months | Rs.8,234 |
| Experimental Design Basics - 6 months | Rs.12,352 |
What you will learn
After completing the Experimental Design Basics Classes, you will gain insights into the following topics:
- Introduction to design and analysis of experiments
- Comparative experiments
- Basic concepts of statistics
- Hypothesis testing framework
- Analysis of variance
- Experiments with a single factor
Who it is for
The course can be opted by anyone interested in learning about experimental design.
Admission Details
Follow the steps given below to enroll in the Experimental Design Basics Live Course:
Step 1: Click on the URL given below -
https://www.coursera.org/learn/introduction-experimental-design-basics
Step 2: Click on the “Enroll for Free” option and choose the desired option.
Step 3: Fill in the required details and complete the process.
The Syllabus
Videos
- Instructor Welcome
- Course Introduction
- Specialization Overview
- History of DOX
- The Basic Principles of DOX
- Factorial Designs with Several Factors
Readings
- 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 the course project
Assignment
Concept Questions
App Item
- JMP Virtual Lab
Discussion Prompt
- Meet the class
Videos
- 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
Reading
Unit 2 Introduction
Assignments
- Concept Questions
- Exercise 1
App Item
- JMP Virtual Lab
Videos
- 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
Readings
Unit 3 Introduction: Experiments with a Single Factor; the Analysis of Variance
Assignments
- Concept Questions
- Exercise 2
Videos
- 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
Reading
Unit 4 Introduction: Randomized Blocks, Latin Squares, and Related Designs; techniques for handling nuisance factor is experiments
Assignments
- Concept Questions
- Exercise 3
Peer Review
- Project Report