Information Package / Course Catalogue
Forecasting Techniques and Modeling
Course Code: ISL439
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: 5
Objectives of the Course

The purpose of the course is to introduce students with forecasting techniques and modeling approaches. The course will cover forecasting techniques, including regression, correlation, time series, indices, simulation, simulation modeling, linear programming, business applications of linear programming, dynamic programming, WınQSP and Lindo programs. In short, the course aims to enhance the proficiency of students regarding modeling and model building and their application in business.;;In short course, to increase students' knowledge of models and model building, and includes the conduct of business applications.

Course Content

Subjects of Forecasting techniques, simulation, use of simulation domain management, linear programming, linear programming computer applications,

Name of Lecturer(s)
Lec. Esin SAYIN
Learning Outcomes
1.Classifies forecasting methods.
2.Applies time series analysis.
3.Develops regression models.
4.Measures forecasting accuracy.
5.Reports modeling results.
6.Uses forecasting models in business decisions.
Recommended or Required Reading
1.Özdemir Ali, Yönetim Biliminde İleri araştırma Teknikleri, Beta Basım, İstanbul-2008.
2.Öztürk Fikri, Özbek Levent, Matematiksel Modelleme ve Simülasyon, Gazi Kitabevi, Ankara-2004.
Weekly Detailed Course Contents
Week 1 - Theoretical
İntroduction to Forecasting Techniques
Week 2 - Theoretical
Estimation issues in the processing of the issue of regression
Week 3 - Theoretical
Correlation and correlation coefficient, the coefficient of determination explained
Week 4 - Theoretical
Processing of time series subject
Week 5 - Theoretical
Disclosure index and the index species
Week 6 - Theoretical
Disclosure index and the index species
Week 7 - Theoretical
Business applications of simulation
Week 8 - Theoretical
Business applications of simulation
Week 9 - Theoretical
Excell simulation program, implementation
Week 10 - Theoretical
Linear programming
Week 11 - Theoretical
Business applications of linear programming
Week 12 - Theoretical
Dynamic programming
Week 13 - Theoretical
Log in to WinQSB
Week 14 - Theoretical
WinQSB application
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Midterm Examination125126
Final Examination128129
TOTAL WORKLOAD (hours)125
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
OÇ-1
4
4
3
2
3
2
2
3
2
2
OÇ-2
4
4
4
3
4
2
2
3
2
2
OÇ-3
4
4
4
3
4
2
2
4
2
2
OÇ-4
4
4
4
3
5
2
2
3
2
2
OÇ-5
3
4
4
3
4
3
2
3
2
2
OÇ-6
4
4
5
3
5
2
2
4
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026