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

ECTS Course Information Package

School/Faculty/Institute

Graduate School

Course Code

ECON 512

Course Title in English

Forecasting

Course Title in Turkish

Tahmin Yöntemleri

Language of Instruction

Type of Course

Laboratory Work

Level of Course

Select

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

Co-requisites

None

Expected Prior Knowledge

Yok

Registration Restrictions

Only Graduate Students

Overall Educational Objective

At the end of this course, students will learn how to forecast macroeconomic variables using regression models.

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 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. DİNA ÇAKMUR 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 Readings

All required readings will be provided.

Teaching Methods

Lab (Computer Laboratory)

Homework and Projects

Laboratory Work

Var

Computer Use

Var

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Attendance	14	% 10
Presentation	1	% 30
Final Examination	1	% 60
TOTAL		% 100

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