Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Statistics UTI225 3. Semester 3 + 0 3.0 5.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery
Course Coordinator Assoc. Prof. Dr. İsmail DURAK
Instructors İsmail DURAK
Assistants
Goals The aim of the course in the process of data analysis computer-aided statistical methods and techniques is taught and practiced.
Course Content Universe, sample, sampling methods, descriptive statistics
Learning Outcomes -
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Bilimsel araştırma süreci
2. Week İstatistiğin tanımı ve işlevleri
3. Week Evren ve Örneklem: evren tanımı
4. Week Örneklem yöntemleri, örnekleme hataları
5. Week Veri elde etme ve dağılımların incelenmesi
6. Week Bilgisayar Uygulaması
7. Week Veri analizlerinde kullanılacak istatistiksel yöntemlerin seçimi
8. Week Repetition
9. Week Temel istatistikler: betimsel istatistik, frekans analizi
10. Week Değişken tanımları, dağılım modelleri, grafiksel gösterimler
11. Week Veri, değişken, dağılımlar, grafiksel dağılım, betimsel istatistik ile ilgili bilgisayar uygulamaları
12. Week Varyans analizi, Çapraz tablo analizi, İki ortalamanın karşılaştırılması
13. Week Bilgisayar Uygulaması
14. Week Korelasyon: basit korelasyon analiz, kısmi korelasyon analizi
Recommended Sources
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 15 15
Homework 1 1 10 10
Homework 2 1 10 10
Final 1 15 15
Practice 14 3 42
Total Workload 92
ECTS Credit of the Course 5.0