B.E Artificial Intelligence and Machine Learning Design of Experiments Syllabus - Mumbai University
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Design of Experiments
Module 1
- Introduction Strategy of Experimentation Typical Applications of Experimental Design Guidelines for Designing Experiments Response Surface Methodology
Module 2: Fitting Regression Models Linear Regression Models Estimation of the Parameters in Linear Regression Models Hypothesis Testing in Multiple Regression Confidence Intervals in Multiple Regression
- Prediction of new response observation Regression model diagnostics Testing for lack of fit
Module 3: Two-Level Factorial Designs The 22 Design The 23 Design The General2k Design A Single Replicate of the 2k Design
- The Addition of Center Points to the 2k Design, Blocking in the 2k Factorial Design Split-Plot Designs
Module 4: Two-Level Fractional Factorial Designs The One-Half Fraction of the 2k Design The One-Quarter Fraction of the 2k Design The General 2k-p Fractional Factorial Design
- Resolution III Designs Resolution IV and V Designs Fractional Factorial Split-Plot Designs
Module 5: Response Surface Methods and Designs Introduction to Response Surface Methodology The Method of Steepest Ascent
- Analysis of a Second-Order Response Surface Experimental Designs for Fitting Response Surfaces
Module 6: Taguchi Approach Crossed Array Designs and Signal-to-Noise Ratios Analysis Methods 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, 3 rd 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, 2 nd 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. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. 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.