ECONOMICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ECO4754	Selected Topics in Applied Economics	Spring	3	0	3	4

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Hybrid
Course Coordinator :	Dr. Öğr. Üyesi DİLA ASFUROĞLU
Recommended Optional Program Components:	None
Course Objectives:	This course aims to teach students how to read academic papers, think critically on them and replicate basic results of these papers. This course covers fundamental knowledge and tools from statistics and econometrics in an attempt to facilitate students in critically evaluating academic papers. Students will also learn the processes of finding their own research questions, analysing their questions and presenting their projects in a hands-on manner.

Learning Outcomes

The students who have succeeded in this course;
1) Read and evaluate academic papers critically;
2) Replicate the results of academic papers using pen-paper and softwares;
3) Use applied tools to interpret data; describe data using numerical statistics; visualize the data using graphs; evaluate the relationship between variables using emprical tools and test their significance;
4) Download data from databanks and managing them;
5) Present their projects.

Course Content

This course covers the discussion of empirical academic articles that students might be interested in; includes developing students' presentation skills by finding their own research questions and seeking answers to research questions with statistical and empirical methods.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Syllabus, What is research?
2)	Definitions and calculation methods for macro variables
3)	Introduction to databanks, dowloading data
4)	Defining & Graphing Data
5)	Numerical Measures to Describe Data
6)	Excel, Stata exercises
7)	Simple Linear Regression
8)	Multiple Regression Analysis
9)	Multiple Regression Analysis
10)	Paper Discussions
11)	Paper Discussions
12)	Paper Discussions
13)	Project Presentations
14)	Project Presentations

Sources

Course Notes / Textbooks:	Lecture Notes Statistics for Managers Using Microsoft Excel, Global Edition, 8/E, by Levine, Stephan & Szabat Social Research Methods: Pearson New International Edition: Qualitative and Quantitative Approaches, 7/E, by Neuman Statistics for Business and Economics by Paul Newbold, William L. Carlson and Betty Thorne, 8th Edition, Pearson.
References:	Articles will be announced by the lecturer.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 15
Quizzes	3	% 45
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	3	42
Project	1	10	10
Final	1	2	2
Total Workload			96

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	As a world citizen, she is aware of global economic, political, social and ecological developments and trends.	4
2)	He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning.	2
3)	Absorbs basic economic principles and analysis methods and uses them to evaluate daily events.	4
4)	Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders.	5
5)	Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions.	1
6)	Comprehends new ways of doing business using digital technologies. and new market structures.	1
7)	Takes critical approach to economic and social problems and develops analytical solutions.	3
8)	Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods.	4
9)	In the works he/she contributes, observes individual and social welfare together and with an ethical perspective.	1
10)	Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines.	2
11)	Generates original and innovative ideas in the works she/he contributes as part of a team.	3