| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
| 2 | DSBE515 | FORECASTING IN BUSINESS AND ECONOMICS | 3+0+0 | 3 | 7,5 | 13.05.2025 |
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Language of Instruction
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English
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|
Level of Course Unit
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Master's Degree
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|
Department / Program
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DATA SCIENCE
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Type of Program
|
Formal Education
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Type of Course Unit
|
Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Providing statistical, mathematical and econometrics foundations of forecasting. Introducing main forecasting methods used in fields of business, economics and social sciences formally.
Developing students’ skills of conducting forecasting estimations using related softwares starting from question formation to evaluation of results.
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Course Content
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The aim of the course is to introduce forecasting, forecasting methods, characteristics and specialties associated with these methods, and to have students develop the ability to use theoretical and practical knowledge about applying forecasting methods in disciplines related to business and economics. By the end of the course students will be able to identify forecasting questions, suitable methods for forecasting questions, conduct forecasting analyses, and interpret and evaluate results of forecasting analyses.
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Course Methods and Techniques
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Traditional in class lectures and real life applications and cases will be utilized.
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Prerequisites and co-requisities
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None
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Course Coordinator
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Associate Prof.Dr. Umut Türk umut.turk@agu.edu.tr
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Name of Lecturers
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Dr. FATMA ÖZKÖSE
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
|
-
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Course Notes
|
Course materials will be provided throughout the semester
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Course Category
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Mathematics and Basic Sciences
|
%30
|
|
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Social Sciences
|
%20
|
|
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Field
|
%50
|
|
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı
|
1
|
%
20
|
|
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı
|
1
|
%
60
|
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Sunum/Seminer
|
1
|
%
20
|
|
Total
|
3
|
%
100
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ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Ev Ödevi
|
7
|
5
|
35
|
|
Sınıf İçi Aktivitesi
|
15
|
1
|
15
|
|
Proje
|
2
|
20
|
40
|
|
Kişisel Çalışma
|
15
|
1
|
15
|
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Öğretici Sunum/Açıklama
|
2
|
15
|
30
|
|
Yüz Yüze Ders
|
15
|
3
|
45
|
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Derse Devam
|
15
|
3
|
45
|
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Total Work Load
| |
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Number of ECTS Credits 7,5
225
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Identify forecasting questions. |
|
2
| Define the concept of forecasting in relation to business, economics and related disciplines. |
|
3
| List basic methods of forecasting. |
|
4
| Conduct forecasting analysis by using appropriate software. |
|
5
| Interpret the results of forecasting analyses. |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction, definitions of forecasting in statistics,econometrics,finance and related disciplines, aim of forecasting, use of forecasting in different disciplines
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| 2 |
Introduction to differential equations
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|
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| 3 |
Constructing mathematical models that are related to business and economics with the help of differential equations
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| 4 |
Analysis of the meaningfulness of the mathematical models in terms of economics and business
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|
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| 5 |
Introduction to Matlab
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|
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| 6 |
Parameter estimation for mathematical models related to business and economics with the help of real data
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|
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| 7 |
Using packaged computer programs for the forecasting purpose
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|
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| 8 |
Data visualization, forecasting analysis
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Recommended Optional Programme Components
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=75107&lang=en