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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 6050 RESPONSE SURFACE METHODS ELECTIVE 3 0 0 7

Offered By

Econometrics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR CENK ÖZLER

Offered to

Econometrics

Course Objective

Response surface methodology is a collection of mathematical and statistical techniques that are useful for the modeling and analysis of problems in which a response of interest is influenced by several input variables and the objective is to optimize this response. The aim of this lesson is to teach students experimental design, regression and optimization techniques used in response surface methodology.

Learning Outcomes of the Course Unit

1   to be able to use response surface designs for first order models 2   to be able to use response surface designs for second order models 3   to be able to analyze the lack of fit of regression models 4   to be able to optimize a process by using steepest ascent method 5   to be able to optimize a process by using ridge analysis method

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Response Surface Methodology and Quality Improvement Studies 2 Structure of Response Surface Methodology 3 Designs for first order models-Factorial Designs 4 Designs for first order models-Plackett Burman Designs 5 Designs for first order models-Fractional Factorial Designs 6 The Lack of Fit Test of First Order Models 7 The Use Steepest Ascent to Achieve Process Improvement 8 Mid-term exam 9 Designs for Second Order Models-Rotatable Second Order Designs 10 Designs for Second Order Models-Central Composite Designs 11 Designs for Second Order Models-Box Behnken Designs 12 Orthogonal Blocking in Second Order Designs 13 Analyzing Second Order Response Surfaces by Ridge Systems- A Canonical Form 14 Analyzing Second Order Response Surfaces by Ridge Systems- B Canonical Form

Recomended or Required Reading

G.E.P. Box and N.R. Draper (1987) Empirical Model Building and Response Surfaces, Wiley

Planned Learning Activities and Teaching Methods

1. Class lecturing 2. Lectures on applications 3. Discussion and analysis of case Studies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FCG FINAL COURSE GRADE 3 FCGR FINAL COURSE GRADE MTE * 0.40 + FCG* 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 10 10 Preparation for final exam 1 10 10 Preparing assignments 14 5 70 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 180

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1