Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
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    • English English
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Econometrics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İKT384 - Econometrics
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 4+0
ECTS 6.0
Course Instructor(s) PROFESÖR DOKTOR YELİZ MERT KANTAR
Mode of Delivery Bu ders sadece yüz yüze eğitim şeklinde yürütülmektedir.
Prerequisites Bu dersin ön koşulu ya da eş koşulu bulunmamaktadır.
Courses Recomended
Recommended Reading List Ekonometri Kuramı, A. Koutsoyiannis, Çeviren: Ümit Şenesen, Gülay Günlük Şenesen, Verso Yayıncılık.
Assessment methods and criteria Klasik
Work Placement
Sustainability Development Goals Quality Education , Industry, Innovation and Infrastructure , Partnerships for Purposes

Content

Weeks Topics
Week - 1 Ekonometrinin Tanımı, Kapsamı Ve Bölümleri
Week - 2 Tahmin Edilmiş Regresyon Modeli Yorumu
Week - 3 Çoklu Bağlantı, Varsayımlar, Testler, Kriterler, Değişken seçimi, Dönüşümler
Week - 4 Esnekliklerin Ölçülmesi: Regresyon Modellerinin Farklı Fonksiyon Kalıpları
Week - 5 Değişen Varyans
Week - 6 Değişen varyans için sınamalar
Week - 7 Genelleştirilmiş en küçük kareler Yöntemi, Ağırlandırılmış En Küçük Kareler Yöntemi
Week - 8 Ardışık Bağımlılık
Week - 9 Ardışık bağımlılık için sınamalar
Week - 10 UYGULAMALAR
Week - 11 Gölge (kukla, kategorik) bağımsız değişkenli model: Tahmini, Yorumlanması;
Week - 12 Gölge (kukla, kategorik) bağımsız değişkenli model: Tahmini, Yorumlanması;
Week - 13 Kategorik Bağımlı Değişkenli Model (Logistik Regresyon Modeli)
Week - 14 Gecikmeli Değişkenler

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Report Preparation and/or Presentation
  • Competences
  • Follow ethical and moral rules
  • Abstract analysis and synthesis
  • Problem solving
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 20
Homework 1 10
Final Exam 1 50
Toplam (%) 100
  • Info on the Institution
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