Course Name Code Semester T+U Hours Credit ECTS
Research and Test Methods GDM 616 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Doç.Dr. DİLEK ANGIN
Course Lecturers
Course Assistants
Course Category
Course Objective

Experimental studies in order to evaluate the results of planning and understanding of statistical testing methods

Course Content

Mean, Variance and Standard Deviation Definitions contains methods for the statistical calculation.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understands and applies the concepts of statistical Lecture, Drilland Practice, Problem Solving, Testing, Homework,
2 The mean, variance and standard deviation calculations, comprehend Lecture, Drilland Practice, Problem Solving, Testing, Homework,
3 Understands and applies the technique of analysis of variance Lecture, Drilland Practice, Problem Solving, Testing, Homework,
4 Understands and applies the analysis of correlation Lecture, Drilland Practice, Problem Solving, Testing, Homework,
5 Understands and applies the chi-square test Lecture, Drilland Practice, Problem Solving, Testing, Homework,
6 Understands and applies regression analysis Lecture, Drilland Practice, Problem Solving, Testing, Homework,
7 Calculate the correlation coefficient Lecture, Drilland Practice, Problem Solving, Testing, Homework,
8 Understands and implements control of Homogeneity Lecture, Drilland Practice, Problem Solving, Testing, Homework,
9 Evaluates the results of experimental study Lecture, Drilland Practice, Problem Solving, Project Based Learning, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Course description and reference books
2 General statistical definitions
3 Mean, variance and standard deviation
4 Common method variance and sample questions
5 Analysis of variance technique and sample questions
6 Correlation analysis and sample questions
7 Regression analysis and sample questions
8 Chi-square tests and sample questions
9 Linear correlation non-linear regression
10 Random sampling
11 Materiality control
12 The correlation coefficient
13 Observation and testing concepts
14 The homogeneity of the control, T-distribution
Resources
Course Notes <p>1- &Ouml;ğretim &Uuml;yesi tarafından hazırlanan ders notları<br /> 2- Yıldırım, M.B., Dere, S., 2005, Uygulamalı İstatistik, Ege &Uuml;niversitesi Ziraat Fak&uuml;ltesi, Tarla Bitkileri B&ouml;l&uuml;m&uuml;, İzmir.<br /> 3- &Ouml;zdamar, K., 2003, Modern Bilimsel Araştırma Y&ouml;ntemleri, Kaan Kitabevi, Eskişehir.</p>
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 -To be able to reach information deeper by literature search in engineering area, evaluate, interpreted and apply information.
2 To be able to complete used scientific methods by utilizing incomplete or limited data; integrate information of different disciplines.
3 To be able to build engineering problem, improve a method to solve it, apply innovator methods in solutions. X
4 To be able to develop methods by using new and original ideas; to enhance innovator solutions in designing system, process and products.
5 To be able to get detailed information about current and technical methods in engineering.
6 Ability of analyzing necessary information and data, following right way to access and evaluation of them. X
7 Ability of making leadership in multi-disciplinary teams, creating solutions in complex situations and taking responsibility.
8 To be able to share of Process and problem of Works systematically and clearly by written or oral in international and national media in that field or not
9 To be able to surveillance of scientific, social, and ethical values in the all occupational activity and the step of data collection, evaluation and announcement of them
10 To create awareness about new and emerging applications of the occupation; gain skills to investigate and learn effectively X
11 To understand the social and environmental aspects of engineering practice, gain skills to adapt to the social environment
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 20
1. Ödev 10
2. Ödev 10
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 10 10
Quiz 1 10 10
Assignment 2 10 20
Final examination 1 10 10
Total Workload 146
Total Workload / 25 (Hours) 5.84
dersAKTSKredisi 6