COURSE UNIT TITLE

: ADVANCED EXPERIMENTAL DESIGN

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 6004 ADVANCED EXPERIMENTAL DESIGN 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

Offered to

Statistics (English)
STATISTICS (ENGLISH)
Statistics (English)

Course Objective

Objective of this course is to cover the higher level of Desing of Experiments

Learning Outcomes of the Course Unit

1   Describe the basics of full factorial designs.
2   Apply two-level full factorial design.
3   Apply three-level full factorial design.
4   Confounding in the 2k Factorial design
5   Apply one half fraction and one quarter of the 2k-designs
6   Apply two-Level Fractional Factorial Desing.
7   Apply Plackett-Burman design
8   Apply Taguchi s Contributions to Experimental Design

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basics of statistical experimental design
2 Basics of full factorial designs
3 Two-level full factorial design
4 Three-level full factorial design
5 2k designs-homework
6 Confounding in the 2k Factorial design
7 One half fraction of the 2kdesigns
8 Midterm exam
9 One quarter fraction of the 2kdesigns
10 Two-Level Fractional Factorial Design
11 Experimental design approach in process development and quality control
12 Plackett-Burman design
13 Taguchi s Contributions to Experimental Design
14 Taguchi Design-A general review

Recomended or Required Reading

Textbook(s): Douglas C. Montgomery. Design and Analysis of Experiments, Third Edition, John Wiley and Sons.
Textbook(s):
References:
Materials: None

Planned Learning Activities and Teaching Methods

Lecture format, built around the textbook readings and computer applications with numerous examples chosen to illustrate theoretical concepts. Lots of drill with emphasis on practice. Questions are encouraged and discussion of material stressed. Lecture and problem solving

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 * 0.40 +ASG * 0.10 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 +ASG * 0.10 +RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: serdar.kurt@deu.edu.tr
Tel: 0232 301 85 51

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 1 14
Preparation for midterm exam 1 50 50
Preparation for final exam 1 50 50
Preparing assignments 1 28 28
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 188

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.14555
LO.24555
LO.34555
LO.44555
LO.54555
LO.64555
LO.74555
LO.84555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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