Business Administration (Non-Thesis) | |||||
Master | Length of the Programme: 1.5 | Number of Credits: 90 | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF: Level 7 |
School/Faculty/Institute | Graduate School | ||||
Course Code | ECON 512 | ||||
Course Title in English | Forecasting | ||||
Course Title in Turkish | Tahmin Yöntemleri | ||||
Language of Instruction | TR | ||||
Type of Course | Laboratory Work | ||||
Level of Course | Seçiniz | ||||
Semester | Spring | ||||
Contact Hours per Week |
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Estimated Student Workload | 125 hours per semester | ||||
Number of Credits | 5 ECTS | ||||
Grading Mode | Standard Letter Grade | ||||
Pre-requisites | None | ||||
Expected Prior Knowledge | Yok | ||||
Co-requisites | None | ||||
Registration Restrictions | Yalnızca Yüksek Lisans Öğrencileri | ||||
Overall Educational Objective | Bu dersin sonunda, öğrenciler makroekonomik değişkenleri regresyon modelleri kullanarak tahmin etmeyi öğrenecekler. | ||||
Course Description | This course will show students how to forecast macroeconomic variables. At the end of this course, students will learn how to build a regression model. Students will also learn how to forecast macroeconomic variables using regression models. Finally, students will learn how to compare various forecasts. | ||||
Course Description in Turkish | Bu ders öğrencilere makroekonomik değişkenlerin tahminleri regresyon yöntemiyle nasıl yapılacağını gösterecektir. Bu dersi başarıyla tamamlayan bir öğrenci regresyon yapmayı öğrenecektir. Regresyon modeli kullanarak tahmin yapmayı öğrenecektir. En sonunda da tahminleri karşılaştırmayı öğrenecektir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) creating regression models; 2) estimating macroeconomics variables using regression models 3) understanding macroeconomics variables 4) comparing various estimations |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
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1) Ability to analyse a various range of organizational information, including accounting and finance, operations management, marketing and technology | ||||
2) Integration of the organizational functional knowledge in the process of formulation and implementation of long-term strategic goals and objectives | ||||
3) Competence in leadership and team membership skills for managing innovation as well as routine processes and activities in organizations | ||||
4) Self-exploration through the development and implementation of real business opportunities | ||||
5) Awareness of the uncertainty and complexity of global business environments and changing business practices and trends | ||||
6) Ability to find ethical, creative, comprehensive solutions to complex organizational problems | ||||
7) Integration of management techniques, new business models and analytical tools to decision-making processes | ||||
8) Competence in vital managerial and leadership skills, such as critical thinking, business communication, decision making and conflict resolution | ||||
9) Ability to communicate in English both verbally and in writing at European Language Portfolio General Level B2. |
N None | S Supportive | H Highly Related |
Program Outcomes and Competences | Level | Assessed by | |
1) | Ability to analyse a various range of organizational information, including accounting and finance, operations management, marketing and technology | H | Lab,Presentation,Project |
2) | Integration of the organizational functional knowledge in the process of formulation and implementation of long-term strategic goals and objectives | H | Lab,Presentation,Project |
3) | Competence in leadership and team membership skills for managing innovation as well as routine processes and activities in organizations | H | Lab,Presentation,Project |
4) | Self-exploration through the development and implementation of real business opportunities | N | |
5) | Awareness of the uncertainty and complexity of global business environments and changing business practices and trends | N | |
6) | Ability to find ethical, creative, comprehensive solutions to complex organizational problems | H | Lab,Presentation,Project |
7) | Integration of management techniques, new business models and analytical tools to decision-making processes | N | |
8) | Competence in vital managerial and leadership skills, such as critical thinking, business communication, decision making and conflict resolution | N | |
9) | Ability to communicate in English both verbally and in writing at European Language Portfolio General Level B2. | N |
Prepared by and Date | , April 2019 |
Course Coordinator | MUHAMMED ABDULLAH ALTUNDAL |
Semester | Spring |
Name of Instructor | Prof. Dr. DINA CAKMUR YILDIRTAN |
Week | Subject |
1) | Understanding Macroeconomic Variables |
2) | Understanding Macroeconomic Variables |
3) | Creating the First Regression Model |
4) | Creating the First Regression Model |
5) | Forecasting Using Regression Modeling |
6) | Forecasting Using Regression Modeling |
7) | Comparing Various Estimates |
8) | Comparing Various Estimates |
9) | Present Time Estimation with Bridge Equation |
10) | Present Time Estimation with Bridge Equation |
11) | Türkiye GNP Forecast |
12) | Türkiye GNP Forecast |
13) | Project Presentations |
14) | Final Project |
15) | End of Term Exams |
16) | End of Term Exams |
Required/Recommended Readings | Tüm zorunlu okumalar paylaşılacaktır. | ||||||
Teaching Methods | Lab | ||||||
Homework and Projects | |||||||
Laboratory Work | Var | ||||||
Computer Use | Var | ||||||
Other Activities | |||||||
Assessment Methods |
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Course Administration |
soybilgenb@mef.edu.tr Öğrenciler elektronik sistemler aracılığıyla paylaşılan ders dokümanlarını inceleyerek derse gelmekle sorumludurlar. Öğretim üyesi sınıf içi aktivitelerde etkileşimi arttırmak için aracı rolünü üstlenecektir. Akademik Sahtekarlık ve İntihal: YÖK Düzenlemeleri |
Activity | No/Weeks | Hours | Calculation | ||||
No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
Course Hours | 14 | 3 | 3 | 84 | |||
Laboratory | 1 | 10 | 1 | 11 | |||
Midterm(s) | 1 | 30 | 30 | ||||
Total Workload | 125 | ||||||
Total Workload/25 | 5.0 | ||||||
ECTS | 5 |