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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 4022 DESIGN OF EXPERIMENTS AND INDUSTRIAL APPLICATIONS ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR ALI KEMAL ŞEHIRLIOĞLU

Offered to

Econometrics Econometrics

Course Objective

This course is intended as a guide for candidates of future practitioners and/or managers involving in product or process experimentation and development.

Learning Outcomes of the Course Unit

1   Understand the importance of design of experiments 2   Understand the importance of quality loss function 3   Understand the importance of signal-to- noise rates 4   Implementation of designs and analysis 5   Understand Taguchi parameter and tolerance design

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction Tolerance Design 2 The Design of Experiments Process The Economics of Reducing Variation 3 Taguchi Loss Function Signal-to- Noise Ratios 4 Orthogonal Array Selection and Utilization Applications 5 Conducting Tests 6 Analysis and Interpretation Methods for Experiments 7 Confirmation of experiment 8 Midterm 9 Midterm 10 Parameter Design

Recomended or Required Reading

Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design 2nd Edition by Phillip J.Ross (1996) McGraw-Hill

Planned Learning Activities and Teaching Methods

Teaching method, Question-Answer method,Discussion and problem solving method

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

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)

02323010386 kemal.sehirli@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 3 36 Preparation for midterm exam 1 20 20 Preparation for final exam 1 20 20 Preparing presentations 1 4 4 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 118

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 PO.10 LO.1 1 1 LO.2 1 1 LO.3 1 1 LO.4 1 1 LO.5 1 1