# COURSE UNIT TITLE

: RESPONSE SURFACE METHODOLOGY AND APPLICATIONS IN ENGINEERING

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 5032 RESPONSE SURFACE METHODOLOGY AND APPLICATIONS IN ENGINEERING ELECTIVE 3 0 0 8

#### Offered By

Graduate School of Natural and Applied Sciences

#### Level of Course Unit

Second Cycle Programmes (Master's Degree)

#### Course Coordinator

ASSOCIATE PROFESSOR DERYA EREN AKYOL

#### Offered to

INDUSTRIAL ENGINEERING - NON THESIS
INDUSTRIAL ENGINEERING
INDUSTRIAL ENGINEERING
M.Sc. Metallurgical and Material Engineering
Metallurgical and Material Engineering
INDUSTRIAL ENGINEERING - NON THESIS (EVENING PROGRAM)

#### Course Objective

This course provides insight and operational skills in designing, analyzing and optimizing quantitative models based on response surface methodology. After completing the course, the students will be able to apply the techniques independently in their own work environment.

#### Learning Outcomes of the Course Unit

 1 Understand and be able to correctly use basic statistical terminology 2 To identify problems where response surface methodology can be applied 3 To be able to design simple experiments 4 To have a general insight into how data analysis is done in connection to designed experiments 5 To be able to build models based on response surface methodology

Face -to- Face

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#### Course Contents

 Week Subject Description 1 Statistical Model Classifications, Approximating Response Functions, Objectives and Typical Applications of Response Surface (RS) Methodology 2 Statistical Model Classifications, Approximating Response Functions, Objectives and Typical Applications of Response Surface (RS) Methodology 3 Linear and Nonlinear Regression Models. 4 Linear and Nonlinear Regression Models. 5 Two Level Factorial Designs, Two Level Fractional Factorial Design. 6 Two Level Factorial Designs, Two Level Fractional Factorial Design. 7 Second Order RS, Second Order Approximating Function 8 Second Order RS, Second Order Approximating Function 9 Optimization by RS Methodology, Nature of Stationary Point( Canonical Analysis), Ridge Analysis of RS. 10 Optimization by RS Methodology, Nature of Stationary Point( Canonical Analysis), Ridge Analysis of RS. 11 Central Composite Designs and Box-Behnken design. 12 RS Analysis with Multiple Responses and Multi Response Optimization. 13 RS Analysis with Multiple Responses and Multi Response Optimization. 14 Response Surface Methods and Taguchi s Robust Parameter Design.

Myers, R.H and Montgomery, D.C. Response Surface Methodology: Process and Product Optimization Using Designed Experiment. John Wiley and Sons Inc., 1995.

Box,G.E.P and Draper,N.R.Empirical Model Building and Response Surface. John Wiley and Sons.1986.

#### Planned Learning Activities and Teaching Methods

Presentations and discussions

#### Assessment Methods

 SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.25 + ASG *0.25 +FIN *0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG *0.25 +RST *0.50

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English

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