COURSE UNIT TITLE

: STATISTICAL DESIGN OF EXPERIMENTS

DEGREE PROGRAMMES

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

ASSOCIATE PROFESSOR ABDULLAH FIRAT ÖZDEMIR

Offered to

Statistics
Statistics
STATISTICS

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/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1555
LO.2555
LO.3555
LO.4555
LO.5555
LO.6555
LO.7555
LO.8555

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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