Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
STA 5068	STATISTICAL DESIGN OF EXPERIMENTS	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

PROFESSOR DOCTOR ABDULLAH FIRAT ÖZDEMIR

Offered to

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

Course Objective

The objective of this course is to cover an intermediate level of Statistical Design of Experiments

Learning Outcomes of the Course Unit

1	Describe how to design experiments, carry them out, and analyze the data they yield.
2	Apply completely randomized design
3	Analyze experiments with single factor by using both fixed effect and random one-way ANOVA model.
4	Examine analysis of variance assumptions and compare individual treatment means
5	Apply randomized complete blocks design, Latin squares and related designs
6	Apply randomized incomplete block design
7	Apply balanced incomplete block design, partially balanced incomplete block design
8	Apply Youden squares and Lattice Designs.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Introduction, what is experimental design,
2	Applications of experimental design, guidelines for desiging experiments
3	Experimets with single factor, one-way analysis of variance
4	Fixed effect and random effect models,
5	Comparison of individual treatment means
6	Assumptions of one-way ANOVA, residual analysis, Preparing Presentations
7	Choice of sample sizes,
8	Fitting Response Curves in the Single-Factor One-Way Model
9	The Randomized Complete Block Design
10	Latin Squares and Greco Latin Squares Designs
11	Balanced Incomplete Block Design,
12	Partially Balanced Incomplete Block Design
13	Youden Squares and Lattice Designs
14	A general review, Preparing Presentations

Recomended or Required Reading

Textbook(s): Douglas C. Montgomery. Design and Analysis of Experiments, Third Edition, John Wiley and Sons

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	FCG	FINAL COURSE GRADE	MTE * 0.50 + ASG * 0.50

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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homeworks and exam

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: firat.ozdemir@deu.edu.tr
Tel: 0232 301 85 52

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
Preparing presentations	2	40	80
Final	1	2	2
TOTAL WORKLOAD (hours)			188

Contribution of Learning Outcomes to Programme Outcomes

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

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION