Information Package / Course Catalogue
Forecasting Techniques In Business Administration
Course Code: YBS266
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this course is to make students to be able to identify and apply statistical forecasting methods in business.

Course Content

To be able to analyze time series in businesses and use computer software related to the subject

Name of Lecturer(s)
Assoc. Prof. Büşra KUTLU KARABIYIK
Learning Outcomes
1.Determination of appropriate techniques in the analysis of time series in businesses
2.Using computer software for forecasting
3.Making predictions for the future
4.Using Eviews software
5.Using the R software
Recommended or Required Reading
1.- Neyran Orhunbilge, Zamana Serileri Analizi Tahmin ve Fiyat İndeksleri
2.Mehmet Çınar, Mustafa Sevüktekin, Ekonometrik Zaman Serileri Analizi
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Forecasting Methods
Week 2 - Theoretical
Preparation of Time Series for Analysis
Week 3 - Theoretical
Simple Linear Regression Analysis
Week 4 - Theoretical
Separation Method - Annual Series
Week 5 - Theoretical
Separation Method - Monthly Series
Week 6 - Theoretical
Smoothing Methods - Annual Series
Week 7 - Theoretical
Smoothing Methods - Monthly Series
Week 8 - Theoretical
Autoregressive Models (AR)
Week 9 - Theoretical
Autoregressive Models (AR)
Week 10 - Theoretical
Moving Average Models (MA)
Week 11 - Theoretical
Box-Jenkins (ARIMA) Models
Week 12 - Theoretical
Seasonal ARIMA Models
Week 13 - Theoretical
Autoregressive Distributed Models
Week 14 - Theoretical
Course Evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory160348
Assignment110010
Reading26012
Individual Work415060
Midterm Examination110010
Final Examination110010
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
3
3
3
3
2
OÇ-2
3
3
3
3
2
OÇ-3
3
3
3
3
2
OÇ-4
3
3
3
3
2
OÇ-5
3
3
3
3
2
Adnan Menderes University - Information Package / Course Catalogue
2026