At the end of this course, the students; 1) will have an ability to design and conduct experiments, as well as to analyze and interpret data 2) will have an ability to design a system, component, or process to meet desired needs within realistic 3) will have an ability to design in the experiments using the MİNİTAB package program to get results and ability to interpret
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
Statistics and stochastic processes
COURSE DEFINITION
COURSE CONTENTS
WEEK
TOPICS
1st Week
Experimental design principles for the design example
2nd Week
Experiments with Single Factors: Variance analysis of the logic (ANOVA),
3rd Week
Averaging testing After ANOVA, confidence intervals, variance components
4th Week
Experiments with a single factor completed random blocks designe
5th Week
Incomplete blocks designe
6th Week
Experiments with a single factor Latin square designe, and other squares designe,
7th Week
intermediate
8th Week
Factorial Experiments: The concept of interaction and ANOVA logic
9th Week
Factorial Experiments: The concept of interaction and ANOVA logic
10th Week
Restrictions are placed on the randomation in Factorial Experiments
11th Week
2k Factorial Experiments
12th Week
2k Factorial Experiments
13th Week
Confounding in blocks
14th Week
Fractional replication experiments
RECOMENDED OR REQUIRED READING
C.R.Hicks, 2009. (translated), Deney Düzenlemede İstatistiksel Yöntemler, Z.Muluk, Ö.Toktamış,S.Kurt, E.Karaağaoğlu, Gazi Kitapevi yayını, Ankara, 2009 Montgomery D.C. 200. Design and Analysis of Experiments, 5th Edition, Wiley. W.G.Cochran , G.M.Cox, 1957. Experimental Designs, Wiley, New York. Erbaş O.S., Olmuş H.,2006, Deney Düzenleri ve İstatistik Analizleri, Gazi Kitapevi, Ankara.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Presentation,Project,Other
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
20
Assignment
3
20
Quiz
4
15
Project
1
15
Total(%)
70
Contribution of In-term Studies to Overall Grade(%)
70
Contribution of Final Examination to Overall Grade(%)
30
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
4
6
24
Individual or group work
14
12
168
Preparation for Final exam
1
20
20
Course hours
14
3
42
Preparation for Midterm exam
1
20
20
Laboratory (including preparation)
Final exam
1
2
2
Homework
4
8
32
Total Workload
310
Total Workload / 30
10,33
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)