COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Design of Experiment
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
STAT 558
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims to make the students familiar with the basics of the Design of experiment and related statistical areas.
Learning Outcomes The students who succeeded in this course;
  • will be able to Ddetermine of what type of statistical design is needed in an experiment.
  • will be able to arrange data.
  • will be able to find proper statistical software.
  • will be discuss about ANOVA.
  • will be able to use randomized tests.
  • will be able to work with incomplete data.
Course Description The course includes analysis of different types of statistical experiments. Randomized Experiments and Fixed Designs are also discussed. Analysis of covariates and incomplete samples are presented.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Types of research designs, types of treatments ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 6:13.
2 Overview of research desings and issues encounted in most desings ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 13:21.
3 Organizing, describing and screening data ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages:29:66.
4 Analysis of variance ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages:69:90.
5 Factorial randomized groups, fixed effects designs ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 154:216.
6 Higher order factorial designs ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 175:181.
7 Repeated measured designs ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 242:281.
8 Midterm exam
9 Mixed randomized repeated designs ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 316:319.
10 Assumptions and limitations. Equations ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 319:332.
11 Types of designs using covariates ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 401:432.
12 Latin square designs ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: : 478:512.
13 Complete examples of Latin square ANOVA ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 528:538.
14 Screening and other incomplete desings ‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell, Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144 pages: 552:565.
15 Semester review
16 Final exam
Course Notes/Textbooks

‘’Experimental Design using ANOVA” by B.G.Tabachnick ve L.S.Fidell,  Duxbury Press; 1st edition,2006 ISBN-13: 978-0534405144

Suggested Readings/Materials

 “Statistical Principles in Experimental design” by D.R.Brown, K.M.Michels ve B.J.Winer, NY,McGrawHill.3rd edition,1991. ISBN-13: 978-0070709829

 “The Design of Experiments” by R.A.Fisher, Edinburgh ve London: Oliver & Boyd. 1971.ISBN-13: 978-0028446905

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
5
Laboratory / Application
1
15
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
3
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
6
84
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
43
Final Exams
1
50
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To develop and deepen his/her knowledge on theories of mathematics and statistics and their applications in level of expertise, and to obtain unique definitions which bring innovations to the area, based on master level competencies,

X
2

To have the ability of original, independent and critical thinking in Mathematics and Statistics and to be able to develop theoretical concepts,

X
3

To have the ability of defining and verifying problems in Mathematics and Statistics,

X
4

With an interdisciplinary approach, to be able to apply theoretical and applied methods of mathematics and statistics in analyzing and solving new problems and to be able to discover his/her own potentials with respect to the application,

X
5

In nearly every fields that mathematics and statistics are used, to be able to execute, conclude and report a research, which requires expertise, independently,

X
6

To be able to evaluate and renew his/her abilities and knowledge acquired in the field of Applied Mathematics and Statistics with critical approach, and to be able to analyze, synthesize and evaluate complex thoughts in a critical way,

X
7

To be able to convey his/her analyses and methods in the field of Applied Mathematics and Statistics to the experts in a scientific way,

X
8

To be able to use national and international academic resources (English) efficiently, to update his/her knowledge, to communicate with his/her native and foreign colleagues easily, to follow the literature periodically, to contribute scientific meetings held in his/her own field and other fields systematically as written, oral and visual.

X
9

To be familiar with computer software commonly used in the fields of Applied Mathematics and Statistics and to be able to use at least two of them efficiently,

X
10

To contribute the transformation process of his/her own society into an information society and the sustainability of this process by introducing scientific, technological, social and cultural advances in the fields of Applied Mathematics and Statistics,

X
11

As having rich cultural background and social sensitivity with a global perspective, to be able to evaluate all processes efficiently, to be able to contribute the solutions of social, scientific, cultural and ethical problems and to support the development of these values,

X
12

As being competent in abstract thinking, to be able to connect abstract events to concrete events and to transfer solutions, to analyze results with scientific methods by designing experiment and collecting data and to interpret them,

X
13

To be able to produce strategies, policies and plans about systems and topics in which mathematics and statistics are used and to be able to interpret and develop results,

X
14

To be able to evaluate, argue and analyze prominent persons, events and phenomena, which play an important role in the development and combination of the fields of Mathematics and Statistics, within the perspective of the development of other fields of science,

X
15

In Applied Mathematics and Statistics, to be able to sustain scientific work as an individual or a group, to be effective in all phases of an independent work, to participate decision-making process and to make and execute necessary planning within an effective time schedule.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest