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, second and third years are on NEP 2020; the final year is still on the REV-2019 'C' Scheme, which is what the University sets for it this year.
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Syllabus for Institute Level Optional Subject I- Design of Experiments
Module 1: Introduction
- 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
- 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
- 3.1 The 22 Design 3.2 The 23 Design 3.3 The General2k Design 3.4 A Single Replicate of the 2k Design 3.5 The Addition of Center Points to the 2k Design, 3.6 Blocking in the 2k Factorial Design 3.7 Split-Plot Designs
Module 4: Two-Level Fractional Factorial Designs and Analysis
- 4.1 The One-Half Fraction of the 2k Design 4.2 The One-Quarter Fraction of the 2k Design 4.3 The General 2k-p Fractional Factorial Design 4.4 Resolution III Designs 4.5 Resolution IV and V Designs 4.6 Fractional Factorial Split-Plot Designs
Module 5: Conducting Tests
- 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
- 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. Module numbering is as printed there too.
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.