Error Analysis, Optimization, and Statistical Experimental Design
in Materials Research- (EMA 3800 )
Statistical approach for materials research, basic and relevant statistical concepts, error
analyses, factorial matrices, reducing the variance, nested designs and sampling plans,
mixture designs, optimization technology, response surface method.
Coreq: EMA 3010.
The course objective is to learn how to plan, design and conduct experiments efficiently
and effectively, and analyze the resulting data to obtain objective conclusions. Both
design and statistical analysis issues are discussed. Opportunities to use the principles
taught in the course arise in all phases of engineering work, including new product design
and development, process development, and manufacturing process improvement.
Applications from various fields of engineering (including chemical, mechanical,
electrical, materials science, industrial, etc.) will be illustrated throughout the course.
Computer software packages (Design-Expert, Minitab) to implement the methods
presented will be illustrated extensively, and you will have opportunities to use it for
homework assignments and the term project.
The course will involve Error Analysis, Statistical Design of Experiments, Comparing
Two or More Treatments, The Balanced Block Design, Factorial Designs, Lab &
Industrial Applications, Fractional Factorials, Screening Techniques, Least Square
Theory, Regression Analysis, Optimization Techniques and Surface Responses.
The course schedule and outline contains assigned
from the textbook and
. The Design-Expert computer software package can be
used to solve many of the problems in the textbook. Other reading references are listed
below. To give credit to these sources, some examples are formulated out of the reading
resources listed below especially from Hunter’s modules
Contribution of course to meeting the professional component