Economics and Finance (YL) (Thesis)
Master	Length of the Programme: 2	Number of Credits: 120	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) To demonstrate increased proficiency on economics and finance depending on the competencies acquired at the undergraduate level.
2) To apply of mathematical concepts to related economic and business problems.
3) To comprehend and interpret the fundamental macroeconomic indicators (balance of payments, money supply, trade balance, foreign exchange rate etc.)
4) To know financial markets and risk, money markets, capital markets, real estate markets, option markets and pricing.
5) To understand the relationship between money and banking and to possess knowledge regarding the financial markets.
6) To use quantitative techniques to increase decision-making capabilities in business environment
7) To show proficiency in analyzing and interpreting financial tables
8) To apply the models used in financial decision making in accordance with risk management techniques and legal regulations.
9) To take initiative and lead multidisciplinary teams, applies economic and financial concepts to solve complex problems.
10) To use written and spoken English effectively (at least CEFR B2 level) to exchange scientific information

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	To demonstrate increased proficiency on economics and finance depending on the competencies acquired at the undergraduate level.	H	Lab,Presentation,Project
2)	To apply of mathematical concepts to related economic and business problems.	H	Lab,Presentation,Project
3)	To comprehend and interpret the fundamental macroeconomic indicators (balance of payments, money supply, trade balance, foreign exchange rate etc.)	H	Lab,Presentation,Project
4)	To know financial markets and risk, money markets, capital markets, real estate markets, option markets and pricing.	N
5)	To understand the relationship between money and banking and to possess knowledge regarding the financial markets.	N
6)	To use quantitative techniques to increase decision-making capabilities in business environment	H	Lab,Presentation,Project
7)	To show proficiency in analyzing and interpreting financial tables	N
8)	To apply the models used in financial decision making in accordance with risk management techniques and legal regulations.	N
9)	To take initiative and lead multidisciplinary teams, applies economic and financial concepts to solve complex problems.	N
10)	To use written and spoken English effectively (at least CEFR B2 level) to exchange scientific information	S	Presentation

Prepared by and Date	, April 2019
Course Coordinator	MUHAMMED ABDULLAH ALTUNDAL
Semester	Spring
Name of Instructor

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