Course Name Code Semester T+U Hours Credit ECTS
Design Of Experiments KAL 506 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi UFUK KULA
Course Lecturers
Course Assistants
Course Category
Course Objective To teach the experimental designs techniques for experiments which are designed to sustain and improve the product and service quality with minimum cost and time
Course Content Introduction to experimental design, central location and variability measurements, one way ANOVA, two way ANOVA, randomized complete block design, general factorial design, latin square design, 2k factorial design
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Student will be able to conduct hypotheses test and make decisions according to the hypotheses tests. Lecture, Question-Answer, Discussion, Motivations to Show, Problem Solving, Testing, Homework,
2 Student will be able to build single factor ANOVA model and understand how to measure the varience components. Lecture, Question-Answer, Discussion, Drilland Practice, Simulation, Testing, Homework,
3 Student will be able to perform F test by preparing the ANOVA table and make decisions on it. Lecture, Question-Answer, Discussion, Drilland Practice, Simulation, Testing, Homework,
4 Student will be able to calculate type 2 error and calculate required sample size for the determied type 2 error Lecture, Question-Answer, Discussion, Simulation, Testing, Homework,
5 Student will be able to prepare the ANOVA table for two or more factors, and interpret on the results of the table Lecture, Question-Answer, Discussion, Drilland Practice, Simulation, Testing, Homework,
6 Student will be able to design and conduct two-level fractional factorial designs Lecture, Question-Answer, Discussion, Demonstration, Simulation, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to experimental design
2 Central location and variability measurements
3 Hypothesis tests
4 One way ANOVA
5 One way ANOVA model and ANOVA model
6 Model assumptions
7 Compare the means of the treatments
8 Two way ANOVA
9 Midterm Exam
10 Determination of the sample size in one way ANOVA
11 Randomized complete block design
12 General factorial design
13 Latin square design
14 2k factorial design
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
8 X
9 X
10 X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Ödev 13
2. Ödev 13
3. Ödev 14
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 20 20
Quiz 1 20 20
Assignment 3 25 75
Performance Task (Laboratory) 1 30 30
Total Workload 241
Total Workload / 25 (Hours) 9.64
dersAKTSKredisi 6