Chemical Engineering

Statistical Design of Experiments CH 5th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-1)

Statistical Design of Experiments detail syllabus for Chemical Engineering (CH), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RCH054), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.

For all other ch 5th sem syllabus for b.tech 2019-20 scheme aktu you can visit CH 5th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-1 subjects do refer to Departmental Elective-1. The detail syllabus for statistical design of experiments is as follows.

Unit 1

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit 2

Design of Experiments: Fundamental and types of Design of Experiment, Randomized blocks, latin squares, and related design, factorial design, two-factor factorial design, blocking in a factorial design, the
22 & 23 factorial design, the general 2k factorial design, blocking and compounding in the 2k factorial design, two-level, three level and mixed level factorial and fractional factorial designs.

Unit 3

Parameter Estimation: Linear regression models, estimation of the parameters in linear regression models, hypothesis testing in multiple regression, non-linear regression, logistic and weighted regression, Chi-squared tests, confidence intervals in multiple regression, prediction of new response observations, regression model diagnostics, testing for lack of fit.

Unit 4

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit 5

Experiments with Random Factors: Random effect model, two factor factorial with random factors, two- factor mixed model, sample size determination with random effects, approximate F tests.
Design and Analysis: Nested and split-plot design, non-normal responses and transformations, unbalanced data in a factorial design.

Text Books:

  1. Lazic Z. R., Design of Experiments in Chemical Engineering: A Practical Guide, Wiley, 2005.
  2. Antony J., Design of Experiments for Engineers and Scientists, Butterworth Heinemann, 2004,
  3. Montgomery D. C., Design and Analysis of Experiments, 5th Ed., Wiley, 2004.

For detail syllabus of all other subjects of B.Tech Ch, 2019-20 regulation do visit Ch 5th Sem syllabus for 2019-20 Regulation.

Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.

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