Ekonomi
Lisans	Programın Süresi: 4	Kredi Sayısı: 240	TYYÇ: 6. Düzey	QF-EHEA: 1. Düzey	EQF: 6. Düzey

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Econ., Admin. and Social Sciences

Course Code

FIN 431

Course Title in English

Behavioral Finance

Course Title in Turkish

Davranışsal Finans

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Advanced

Semester

Güz

Contact Hours per Week

Lecture: 3

Recitation:

Lab:

Other:

Estimated Student Workload

120 hours per semester

Number of Credits

5 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

FIN 202 - Finance | FIN 204 - Corporate Finance
MATH 204 - Probability and Statistics for Social Sciences II

Expected Prior Knowledge

Finance, Probability & Statistics

Co-requisites

None

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To gain an in-depth understanding of the basic concepts of behavioral finance and its applications to investment-related decision making.

Course Description

This course is an introductory course to behavioral finance theory from an investor perspective.

Course Description in Turkish

Davranışsal finansın temel kavramlarını öğrenmek ve finansal piyasalara ilişkin mevcut kuramsal çerçeve ile karşılaştırabilmek.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1)
2)
3)
4)
5)

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.	N
2)	Demonstrates knowledge and skills in understanding the interactions of different areas of economics.	N
3)	Displays a sound comprehension of microeconomic and macroeconomic theory.	N
4)	Applies economic concepts to solve complex problems and enhance decision-making capability.	N
5)	Uses quantitative techniques to analyze different economic systems.	N
6)	Applies theoretical knowledge to analyze issues regarding Turkish and global economies.	N
7)	Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.	N
8)	Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.	N
9)	Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.	N
10)	Exhibits individual and professional ethical behavior and social responsibility.	N
11)	Displays learning skills necessary for further study with a high degree of autonomy	N

Prepared by and Date	SEMEN SON TURAN , May 2023
Course Coordinator	CEYHAN MUTLU
Semester	Güz
Name of Instructor	Prof. Dr. SEMEN SON TURAN

Course Contents

Hafta	Konu
1)
2)
3)
4)
5)
6)
7)
8)
9)
10)
11)
12)
13)
14)
15)
16)

Required/Recommended Readings

A list of mandatory readings will be uploaded onto BB on a weekly basis.

Teaching Methods

Lectures (flipped classroom)

Homework and Projects

Student presentations and graded discussions/ quizzes throughout the course. Students will also regularly read, discuss and present research papers about popular topics and write short essays.

Laboratory Work

Computer Use

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Devam	1	% 10
Sunum	2	% 20
Ara Sınavlar	2	% 70
TOTAL		% 100

Course Administration

sons@mef.edu.tr
sons@mef.edu.tr
Assessment on this course will be continuous, meaning it will take place throughout the semester. Therefore, regular attendance is strongly recommended. This is a flipped course where each student is expected to read assigned material and watch videos in advance, follow class and Blackboard, and actively participate. MEF University regulations apply for missed exams (exams only) with official excuses which must be submitted to the faculty through this link: https://www.cognitoforms.com/MEFUniversity/MazeretBildirimFormu within 3 business days of the exam. Please consult our faculty secretary in advance for types of accepted excuses. Academic dishonesty and plagiarism will be subject to the YÖK regulation.

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
Ders Saati	14	2	3	1	84
Ödevler	2	8			16
Ara Sınavlar	2	8	2		20
Total Workload					120
Total Workload/25					4.8
ECTS					5