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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Business Administration
  3. Master of Business Administration (MBA)
  4. Master of Science (MSc) in Business Administration (English)
  5. Course Structure Diagram with Credits
  6. Business Statistics and Forecasting Methods
  7. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İŞY510 - Business Statistics and Forecasting Methods I. SEMESTER 3 +0 6.0
Language of Instruction İngilizce
Course Type Elective Courses
Course Instructor(s) PROF. DR. FİKRET ER
Mode of Delivery Face to Face
Place of Delivery
Used Educational Platforms
Prerequisites None
Courses Recomended None
Recommended Resources J.E. Hanke and D.W. Wichern "Business Forecasting", 8th edition, Pearson 2005
Work Placement None
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Statistics, Basic Concepts
Week - 2 Probability Theory
Week - 3 Estimation and Hypothesis testing
Week - 4 Introduction to Forecasting
Week - 5 Data Analysis
Week - 6 Choosing a forecasting technique
Week - 7 Midterm exam; Determining the adequacy of a forecasting technique
Week - 8 Moving averages
Week - 9 Exponential smoothing methods
Week - 10 Time series and their components
Week - 11 Simple Linear Regression
Week - 12 Multiple Regression Analysis
Week - 13 The Box-Jenkins (ARIMA) Methodology
Week - 14 Review of the course and Final Exam

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Final Exam 1 60
Homework 1 40
Toplam (%) 100

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