Course Details

FORECASTING IN BUSINESS AND ECONOMICS

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits
2	DSBE515	FORECASTING IN BUSINESS AND ECONOMICS	3+0+0	3	7,5

Course Details

Language of Instruction	English
Level of Course Unit	Master's Degree
Department / Program	DATA SCIENCE
Type of Program	Formal Education
Type of Course Unit	Elective
Course Delivery Method	Face To Face
Objectives of the Course	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.
Course Content	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.
Course Methods and Techniques
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Dr. FATMA ÖZKÖSE
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

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	Quantity	Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı	1	% 20
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı	1	% 60
Sunum/Seminer	1	% 20
Total	3	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Ev Ödevi	7	5	35
Sınıf İçi Aktivitesi	15	1	15
Proje	2	20	40
Kişisel Çalışma	15	1	15
Öğretici Sunum/Açıklama	2	15	30
Yüz Yüze Ders	15	3	45
Derse Devam	15	3	45
Total Work Load			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.
6	Relate mathematical tools and concepts with economics and economic problems.
7	Provide solutions to real-life problems by utilizing mathematical models and forecasting analysis methods.

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
2	Introduction to differential equations
3	Constructing mathematical models that are related to business and economics with the help of differential equations
4	Analysis of the meaningfulness of the mathematical models in terms of economics and business
5	Introduction to Matlab
6	Parameter estimation for mathematical models related to business and economics with the help of real data
7	Using packaged computer programs for the forecasting purpose
8	Data visualization, forecasting analysis

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