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Online Course

Design and Analysis of Experiments

Indian Institute of Technology, Kharagpur and NPTEL via Swayam

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Overview

The objective of this course is to impart students a holistic view of the fundamentals of experimental designs, analysis tools and techniques, interpretation and applications. Upon completion of this course, the students will know (i) the fundamentals of experiments and its uses, (ii) basic statistics including ANOVA and regression, (iii) experimental designs such as RCBD, BIBD, Latin Square, factorial and fractional factorial designs, (iv) application of statistical models in analysing experimental data, (v) RSM to optimize response of interest from an experiment, and (vi) use of software such as Minitab.

Syllabus

Week 1: Introduction to design and analysis of experiments with basic concepts and applications

Week 2: Basic statistics

Week 3: Analysis of Variance (ANOVA)

Week 4: Regression

Week 5: Experimental designs: Randomized complete block design (RCBD)

Week 6: Experimental designs: Variants of RCBD such as Latin Square, central composite design, etc.

Week 7: Experimental designs: Full factorial experiments

Week 8: Experimental designs: 2k factorial experiments

Week 9: Experimental designs: Fractional factorial experiments

Week 10:Experimental designs: 2k-p factorial experiments

Week 11:Response surface methodology (RSM)

Week 12: Introduction to software MINITAB

Taught by

J. Maiti

Review for Swayam's Design and Analysis of Experiments Based on 1 reviews

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Nagraj S
Nagraj is taking this course right now, spending 1 hours a week on it and found the course difficulty to be easy.
To apply statistics that deals with planning, conducting, analyzing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters. DOE is a powerful data collection and analysis tool that can be used in a variety of experimental situations.
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