Purpose of introducing this course is to provide advance aspect of analyzing experiments that are composed of different treatments under different levels. This course aims how to manage factorial experiments, how to analyze these experiments under limited resources and material by providing wide range of information of concept of blocking and controlling features of designs. This course is composed of different resolution of design, replicated design, response surface methodology, steepest methods and advance robust designs like cross arrayed designs and Taguchi methods.
At the completion of the course, the student will be able to
Recommended Books
Sessional: 20
Time Table Reg: Monday 10:00 - 01:00pm
Week |
Topics and Readings |
1.
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A review and analysis with unequal subclass numbers
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2.
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2n and 3n factorial experiments
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3.
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Mixed factorial experiments
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4.
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Blocking factorial design
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5.
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Estimation of model parameters
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6.
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Fractional replication and alias structure
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7.
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Resolution III, IV and V design
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8.
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Unreplicated factorial designs
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9.
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Lenth’s method, Danial method
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10.
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Analysis of Response surfaces methods (RSM)/designs
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11.
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Series of experiments in time and space
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12.
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1st order and 2nd order model, Method of steepest ascent, Blocking in RSM
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13.
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Saturated designs and their analysis
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14.
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Nested Designs: two stage and general-m stage
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15.
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Robust designs and Taguchi methods
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16.
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Review of important topics
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