M.SC. in Computer Engineering (Without Thesis)

STAT 558 | 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	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Prof. Dr. Gözde Yazgı TÜTÜNCÜ
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

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	will be able to Ddetermine of what type of statistical design is needed in an experiment.
2	will be able to arrange data.
3	will be able to find proper statistical software.
4	will be discuss about ANOVA.
5	will be able to use randomized tests.
6	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.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
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; 1^st 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.3^rd 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	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5	LO 6
Participation	1	5
Laboratory / Application	1	15
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
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
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	14	6	84
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury			0
Project			0
Seminar / Workshop			0
Oral Exam			0
Midterms	1	43	43
Final Exam	1	50	50
		Total	225

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	-	X
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	-	X
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	-	-	-	X
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	X	-	-
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	X	-
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	-	X	-
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		-	-	X	-	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	-	X
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	-	X	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	X	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	X	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	-	-	-	X