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AKTU Statistical Design of Experiments (BCH054) Syllabus PDF – B.Tech 3rd Year

Statistical Design of Experiments BCH054

All syllabus, notes, question bank & PYQ for this subject

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  • Semester 5
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Official AKTU syllabus of Statistical Design of Experiments (BCH054) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Statistical Design of Experiments

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BCH054 · 3 credits · L-T-P 3-0-0

CO-PO Mapping (1 to 3 scale) CO/P PO PO PO PO PO PO PO PO PO- PO- PO- PO O -1 -2 -3 -4 -5 -6 -7 -8 9 10 11 -12 CO-1 3 3 3 1 1 1 - - - - - 1 CO-2 3 3 3 1 1 1 1 2 - - - 2 CO-3 3 3 3 2 1 1 2 2 - - - 3 CO-4 3 2 2 1 2 2 1 2 - - - 2 CO-5 3 3 3 1 2 2 1 2 - - - 1 CO-6 2 2 3 3 3 2 1 1 - - - 1 Avg 2.8 2.7 2.8 1.5 1.7 1.5 1.2 1.8 - - - 1.7

Reference Books

S.NONAME OF AUTHORS/BOOKS /PUBLISHERSYEAR OF PUBLICATION/ REPRINT
1.Montgomery, D. C., G.C. Runger, Applied Statistics and Probability for Engineers. 7th ed. New Delhi: Wiley-India. .2022
2.Montgomery, D. C., Design and Analysis of Experiments. 9th ed. New Delhi: Wiley-India, 20112017
CO/P OPO -1PO -2PO -3PO -4PO -5PO -6 PO -7 PO -8 PO- 9 PO- 10 PO- 11 PO -12
CO-131-1
CO-2312-2
CO-33212-3
CO-4321212 - 2
CO-531212- 1
CO-62321-1
Avg2.82.72.81.51.71.5 1.2 1.8 - 1.7
3.Myers, R. H., D. C. Montgomery and C. M. Anderson-Cook, Response Surface Methodology. 4the. New Jersey: Wiley.2022
COURSE DETAILS:
UNITSCONTENTSLECTURE HOURS
IIntroduction: Overview of the subject, random errors, random variables, random sampling, determinate and indeterminate errors and their analyses.5
IIDesign of experiments: Systematic planning of experiments, methods for analysis of experimental results. General linear model ANOVA, and model checking Factorial Designs: The 2k Factorial Design, blocking and confounding in the 2k factorial design, introduction to two and three-level fractional factorial design.11
IIIFitting regression Models: linear and nonlinear regression, general Linear Models and methods for fitting, validating and testing Response surface methods: Introduction to response surface methods and experiments with random factors Strategies for experimental design with examples6
IVProbability distribution: Presentation of experimental data, discrete, continuous and normal probability density functions, standard probability distribution functions: Normal, Student’s T, chi-square and F distributions8
VIntroduction to Response Surface Methodology, the Method of Steepest Ascent, Experimental Designs for Fitting Response Surfaces- Designs for Fitting the First-Order Model, Designs for Fitting the Second-Order Model, Evolutionary Operation. Advanced topics in design of experiments 4010

B.TECH. III YEAR V SEMESTER CHEMICAL ENGINEERING

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