Coming soon
Advanced Design of Experiments
This is an advanced course in Design of Experiments that aims at describing some advanced level topics for students who wish to pursue research in Design of Experiments. This course prepares students for undertaking research in this area.
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Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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STT 423(A) |
Advanced Design of Experiments (Theory)
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The students will be able to –
CO100: Analyze the data and also identify the appropriate design. CO101: Construct the design for the provided data and also check their applications. CO102: Plan and execute screening experiments to select factors that affect the process CO103: Analyze the results and also able to research in Design of experiments. CO104: Examine factors at three levels and mixed levels. |
Approach in teaching:
Interactive Lectures, Discussion, Power Point Presentations, Informative videos
Learning activities for the students: Self learning assignments, Effective questions, presentations, Field trips
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Quiz, Poster Presentations, Power Point Presentations, Individual and group projects, Open Book Test, Semester End Examination
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Desirable properties of a good design: orthogonality, connectedness and balancing. Various optimality criteria and their interpretations. Relation between blocks of incomplete block designs, duality, resolvability and affine resolvability.
Finite Group and finite field, finite geometry projective and Euclidean., Finite geometry and different method of mols, inter and intra block analysis of BIBD. Constructions of orthogonal Latin squares - (i) for prime power numbers and (ii) by Mann-Mechneish theorem
Group divisible design. Lattice Design, Linked Block Design, Two-associate PBIBD, association scheme and intra block analysis.
Fractional Factorial Design, Orthogonal and balanced arrays and their connections with confounded and fractional confounded
Response surface design: orthogonality, rotatibility and blocking, construction and analysis, method of steepest ascent.
- Dey, A & Mukerjee, R. (1999). Fractional Factorial Plans, John Wiley.
- Atkinson, A.C. and Donev.A.N.(1992): Optimal Experimental Design, Oxford University Press.
- Raghava, Rao. (1971): Construction and Combinatorial Problems in Design of Experiments, John Wiley.
- Chakravarti, M.C. (1962): Mathematics of Design of Experiments, Asia Publishing House.
- John, P.W.N. (1971): Statistical Design and Analysis of Experiments, Mc Millan.
- Khuri, A.N. and Cornell, M.(1991): Response Surface Methodology, Marchell & Decker.
- Shah, K.R. and Sinha, B.K.(1989): Theory of Optimal Design, Springer-Verlog.
- Dey, Alok,(1988):Theory of Block Designs, John Wiley & Sons
