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 513

Course Title in English

Quantitative Methods for Economics and Finance

Course Title in Turkish

Ekonomi ve Finans için Nicel Yöntemler

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Intermediate

Semester

Fall

Contact Hours per Week

Lecture: 3

Recitation:

Lab:

Other:

Estimated Student Workload

128 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 master students

Overall Educational Objective

Acquire skills about Data Analysis

Course Description

This course teaches students decision science tools using Excel.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) understand the principles of decision-making processes
2) understand basic data analysis methods
3) Improve his/her mastery of Excel software
4) apply what they have learned about data analysis and decision-making processes to professional and academic cases.

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	Exam,HW
2)	To apply of mathematical concepts to related economic and business problems.	S	Exam
3)	To comprehend and interpret the fundamental macroeconomic indicators (balance of payments, money supply, trade balance, foreign exchange rate etc.)	S	Exam,HW
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	Exam,Project
7)	To show proficiency in analyzing and interpreting financial tables	S	HW
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.	S	Participation,Project
10)	To use written and spoken English effectively (at least CEFR B2 level) to exchange scientific information	S	Participation,Project

Prepared by and Date	DILA IKIZ , November 2018
Course Coordinator	MUHAMMED ABDULLAH ALTUNDAL
Semester	Fall
Name of Instructor

Course Contents

Week	Subject
1)	Introduction to Business Analysis and Decision Making
2)	Defining Univariate Distribution
3)	Application of Defining a Single Variable Distribution in Excel
4)	Finding Relationships between Variables
5)	Implementation of Finding Relationships Between Variables in Excel
6)	Probability and Probability Distribution
7)	Applying Probability and Probability Distribution in Excel
8)	Normal, Binomial, Poisson, and Exponential Distributions
9)	Applying Normal, Binomial, Poisson, and Exponential Distributions in Excel
10)	Applying Normal, Binomial, Poisson, and Exponential Distributions in Excel
11)	Regression Analysis and Estimate Relationships
12)	Regression Analysis and Estimation Relationships in Excell
13)	Regression Analysis and Estimation Relationships in Excell
14)	Using Statistics in Regression Analysis
15)	Final
16)	Final

Required/Recommended Readings

Business Analysis Data Analysis and Decision Making by S. Christian Albright and Wayne Winston

Teaching Methods

Flipped Classroom, Homework, Exam, Project

Homework and Projects

Laboratory Work

Computer Use

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Attendance	14	% 10
Homework Assignments	5	% 30
Project	1	% 30
Final Examination	1	% 30
TOTAL		% 100

Course Administration

ikizd@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	2	3	1	84
Presentations / Seminar	4	8			32
Final Examination	1	10	2		12
Total Workload					128
Total Workload/25					5.1
ECTS					5