| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 5 | ECON327 | INTRODUCTION TO FORECASTING FOR ECONOMICS AND BUSINESS | 3+0+0 | 3 | 5 |
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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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ECONOMICS
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Type of Program
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Formal Education
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Type of Course Unit
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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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Teaching the mathematical infrastructure of forecasting.
Providing knowledge of the use of mathematics in business life and economics.
Teaching popular forecasting techniques used in business, economic and social sciences.
Developing students’ mathematical modelling skills, enabling them to make forecasting using related software, and gaining the skills to interpret the predictions correctly.
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Course Content
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The aim of this course is to teach students the construction of mathematical
models for problems in business and economics, to introduce forecasting and
forecasting methods, and to develop their skills in interpreting the results of
estimation analysis. The course aims to develop students’ ability to solve
problems they will encounter in the fields of economics and business
mathematically and enable them to make effective predictions about real-
world events.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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None
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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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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
ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
|
|
Ev Ödevi
|
3
|
3
|
9
|
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Okuma
|
14
|
2
|
28
|
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Araştırma
|
14
|
2
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28
|
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Ders dışı çalışma
|
14
|
3
|
42
|
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Derse Devam
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14
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3
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42
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Total Work Load
| |
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Number of ECTS Credits 5
149
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| Relate mathematical tools and concepts with economic and economic problems. |
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2
| Provide solutions to real-life problems by utilizing mathematical models and forecasting analysis methods. |
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3
| Make forecasting analyses using relevant software. |
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4
| Interpret the results of forecasting analyses. |
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5
| Explain the meaning of forecasting in the context of business, economics, and related fields |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction to Forecasting
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| 2 |
Types of Forecasts
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| 3 |
Data Collection and Preparation
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| 4 |
Time Series Analysis
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| 5 |
Moving Averages and Exponential Smoothing
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| 6 |
Decomposition of Time Series
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| 7 |
Regression Analysis for Forecasting
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| 8 |
Advanced Time Series Methods
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| 9 |
Forecasting with Explanatory Variables
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| 10 |
Forecast Accuracy and Evaluation
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| 11 |
Scenario Planning and Simulation
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| 12 |
Forecasting in Practice
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| 13 |
Challenges in Forecasting
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| 14 |
Future Trends in Forecasting
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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=77038&lang=en