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Home / Syllabus / B.E. (Computer Engineering) / Fourth Year CE / Semester 7 / Design of Experiments

B.E. (Computer Engineering) 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.

Design-of-Experiments.pdf
Semester 7 · Fourth Year CE

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Syllabus for Design of Experiments

Semester 7 · Fourth Year CE

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

  • 3.1 The 22 Design
  • 3.2 The 23 Design
  • 3.3 The General2k Design
  • 3.4 A Single Replicate of the 2 k Design
  • 3.5 The Addition of Center Points to the 2 k Design,
  • 3.6 Blocking in the 2 k Factorial Design
  • 3.7 Split-Plot Designs

Module 4: Two-Level Fractional Factorial Designs

  • 4.1 The One-Half Fraction of the 2 k Design
  • 4.2 The One-Quarter Fraction of the 2 k Design
  • 4.3 The General 2 k-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: Response Surface Methods and Designs

  • 5.1 Introduction to Response Surface Methodology
  • 5.2 The Method of Steepest Ascent
  • 5.3 Analysis of a Second-Order Response Surface
  • 5.4 Experimental Designs for Fitting Response Surfaces

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, Peactical Experiment Designs for Engineers and Scintists, John Wiley and Sons Inc. ISBN: 0-471-39054-2
  • 5 Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D. T.Voss

Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-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.

PDF 7.9 (R-A) B.E. (Computer Engineering) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.24 (N) B.E. (Computer Engineering) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.15 B.E. (Computer Engineering) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF 6.41 (R) B.E. (Computer Engineering) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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