# COURSE UNIT TITLE

: COMPUTER ASSISTED DESIGN AND ANALYSIS OF EXPERIMENTS

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ENV 5060 COMPUTER ASSISTED DESIGN AND ANALYSIS OF EXPERIMENTS ELECTIVE 3 0 0 6

#### Offered By

Graduate School of Natural and Applied Sciences

#### Level of Course Unit

Second Cycle Programmes (Master's Degree)

#### Course Coordinator

PROFESSOR DOCTOR ILGI KARAPINAR

#### Offered to

Ph.D. in Biotechnology
Environmental Engineering
Ph.D. in Biotechnology
ENVIRONMENTAL ENGINEERING
BIOTECHNOLOGY

#### Course Objective

The main objective of the course is to introduce the computer programs used in statistical design of experiments, analysis of the data and evaluation of results. The theoretical background of statistical experimental design methods, basic principles of performing the experiments, and the statistical methods used in the analysis of the data are discussed in the contents of course

#### Learning Outcomes of the Course Unit

 1 Define the statistical methods used in experimental designes 2 Select the design method according to number of factor or number of experiment 3 Solve the statistical experimental design methods used for decreasing number of experiment 4 Associtae the statiscal design methods for optimization of a process 5 Practice the use of software for statistical anlaysis of experimental design methods.

Face -to- Face

None

None

#### Course Contents

 Week Subject Description 1 General Factorial Design Theoretical background Design and analysis on Design expert 7.0 2 2k Factorial Design Min. Run Resolution IV Min. Run. Resulotion V Design and analysis on Design expert 7.0 Design and analysis on Statistica 9.0 3 Fractional Factorial Design 2k-p Design and analysis on Design expert 7.0 Design and analysis on Statistica 9.0 4 Other Factorial Design Methods Theoretical Background o Taguchi experimental design o Pluckett Burman Experimental Design o D-Optimal Design Design and analysis on Design expert 7.0 Design and analysis on Statistica 9.0 5 Response Surface Method and Designs Theoretical Background on o Box-Wilson experimental design o Central composite design o Box Behnken experimental design Design and analysis on Design expert 7.0 Design and analysis on Statistica 9.0 6 Mixed Experimental Design Methods Theoretical Background on o Simplex Lattice o Simplex Centroid o User Specified o D-optimal Design and analysis on Design expert 7.0 Design and analysis on Statistica 9.0 7 Mixed Experimental Design Methods Theoretical Background on o Simplex Lattice o Simplex Centroid o User Specified o D-optimal Design and analysis on Design expert 7.0 Design and analysis on Statistica 9.0 8 Method Validation Repeatibility Reproducibility Analysis on Statistica 9.0 9 Method Validation Repeatibility Reproducibility Analysis on Statistica 9.0 10 Measurement of uncertainity Theoretical background Fish-bone analyses Sources of uncertainities Uncertainity calculations on Excell 11 Measurement of uncertainity Theoretical background Fish-bone analyses Sources of uncertainities Uncertainity calculations on Excell 12 Measurement of uncertainity Theoretical background Fish-bone analyses Sources of uncertainities Uncertainity calculations on Excell 13 Measurement of uncertainity Theoretical background Fish-bone analyses Sources of uncertainities Uncertainity calculations on Excell 14 Examples from literature

II. TEXTBOOK: Montgomery, D. C. , Design and Analysis of Experiments, Jhon Willey and Sons, 1996.

III. REFERENCE BOOKS:
George E. P. BOX ,Norman R. DRAPER, Experimental Design,Response Surfaces,1987
Box, G.E.P, Hunter J.S., Hunter, W.G., Statistics for Experimenters; An Introduction to Design, Data Analysis and Model Development , Jhon Willy & Sons , 1978.
Michael, S.L. Experimental Design and Methods. London Sage Publication, 1993
Hinkelmann, K., Kempthorne,O. Design and Analysis of Experiments: Introduction to Experimental Design, Jhon Willey and Sons, 1994

#### Planned Learning Activities and Teaching Methods

The course is taught in a lecture by the aid of computer. Statistical design methods, data entry, ststistical analysis methdos will be presented to the students on compouter. The studenst could use their own conmputers simultaneously. All class members are expected to attend.

#### Assessment Methods

 SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 ASG ASSIGNMENT 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE ASG * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

None

English

#### Course Policies and Rules

Students should have intermediate level of statistic knowledege. Studenst have to prepare homeworks after each statistical experimental design method was discussed in the class. The homeworks have to be preapred on computer by using statistical softwares.

To be announced.

To be announced.

None