Information Package / Course Catalogue
ECON 512 Forecasting
MEF University
Degree Programs
Business Administration (Non-Thesis)
General Information For Students
Diploma SupplementErasmus Policy Statement
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

Ders Genel Tanıtım Bilgileri

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
Lecture: 3 Recitation: Lab: Other:
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 Competences

Upon 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
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.

Relation to Program Outcomes and Competences

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

Course Contents

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 ReadingsTüm zorunlu okumalar paylaşılacaktır.
Teaching MethodsLab
Homework and Projects
Laboratory WorkVar
Computer UseVar
Other Activities
Assessment Methods
Assessment Tools Count Weight
TOTAL %
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

ECTS Student Workload Estimation

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