B.E. (Chemical Engineering) Institute Level Optional Subject I Design of Experiments Syllabus - Mumbai University 2026
The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.
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Syllabus for Institute Level Optional Subject I- Design of Experiments
Module 1: Introduction printed in the syllabus as Module Detailed Contents
- 1.1 Strategy of Experimentation 1.2 Typical Applications of Experimental Design 1.3 Guidelines for Designing Experiments 1.4 Response Surface Methodology
Module 2: Fitting Regression Models printed in the syllabus as Module Detailed Contents
- 2.1 Linear Regression Models 2.2 Estimation of the Parameters in Linear Regression Models 2.3 Hypothesis Testing in Multiple Regression 2.4 Confidence Intervals in Multiple Regression 2.5 Prediction of new response observation 2.6 Regression model diagnostics 2.7 Testing for lack of fit
Module 3: Two-Level Factorial Designs and Analysis printed in the syllabus as Module Detailed Contents
Module 4: Two-Level Fractional Factorial Designs and Analysis printed in the syllabus as Module Detailed Contents
Module 5: Conducting Tests printed in the syllabus as Module Detailed Contents
- 5.1 Testing Logistics 5.2 Statistical aspects of conducting tests 5.3 Characteristics of good and bad data sets 5.4 Example experiments 5.5 Attribute Vs Variable data sets
Module 6: Taguchi Approach printed in the syllabus as Module Detailed Contents
- 6.1 Crossed Array Designs and Signal-to-Noise Ratios 6.2 Analysis Methods 6.3 Robust design examples
References
- 1 Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson-Cook, Response Surface Methodology: Process and Product Optimization using Designed Experiment, 3rd edition, John Wiley & Sons, New York, 2001
- 2 D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley & Sons, New York, 2001
- 3 George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters: Design, Innovation and Discovery, 2nd Ed. Wiley
- 4 W J Dimond, Practical Experiment Designs for Engineers and Scientists, John Wiley and Sons Inc. ISBN: 0-471-39054-2
- 5 Design and Analysis of Experiments (Springer text in Statistics), Springer by
- 6 Phillip J Ross, “Taguchi Technique for Quality Engineering,” McGraw Hill
- 7 Madhav S Phadke, “ Quality Engineering using Robust Design,” Prentice Hall
Reproduced from the University of Mumbai syllabus for B.E. (Chemical Engineering) under R-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Modules are numbered in sequence here; in the syllabus itself, Module 1 is printed as Module Detailed Contents; Module 2 is printed as Module Detailed Contents; Module 3 is printed as Module Detailed Contents; Module 4 is printed as Module Detailed Contents; Module 5 is printed as Module Detailed Contents; Module 6 is printed as Module Detailed Contents. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.