Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Research and Test Methods GDM 616 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Doktora
Dersin Türü Seçmeli
Dersin Koordinatörü Prof.Dr. DİLEK ANGIN YILMAZ
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı

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

Dersin İçeriği

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

# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
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,
Hafta Ders Konuları Ön Hazırlık
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
Kaynaklar
Ders Notu

1- Öğretim Üyesi tarafından hazırlanan ders notları
2- Yıldırım, M.B., Dere, S., 2005, Uygulamalı İstatistik, Ege Üniversitesi Ziraat Fakültesi, Tarla Bitkileri Bölümü, İzmir.
3- Özdamar, K., 2003, Modern Bilimsel Araştırma Yöntemleri, Kaan Kitabevi, Eskişehir.

Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
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
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 60
1. Kısa Sınav 20
1. Ödev 10
2. Ödev 10
Toplam 100
1. Yıl İçinin Başarıya 60
1. Final 40
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
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
Toplam İş Yükü 146
Toplam İş Yükü / 25 (Saat) 5,84
Dersin AKTS Kredisi 6