INTRODUCTION TO ECONOMETRICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
HIT332	INTRODUCTION TO ECONOMETRICS	5	3	3	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Prof. KAMİL KAYA
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to build foundation to provide solutions for various economic problems based on statistics and to evaluate what needs to be done in order to make the right decisions during the economic forecasts for the future.
Contents of the Course Unit:	Contents of the course include the subjects as in Multiple Regression, deviations from assumptions, autocorrelation, multiple linear connection, changing variance autoregressive models, distributed lagged models, dummy variable, systems of simultaneous equation.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Define the basic econometric concepts
Explain the econometrics-related terms, forecast and prediction techniques through case studies
Use the basic econometric estimation methods for future economic forecasts
Analyze the validity of economic theory by using econometric techniques
Compare the relationships between economic variables in econometric terms

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Reading	Definition, Goals, Steps In Econometrics	Lecture & Question and Answer & Surveying
2	Reading	Simple Linear Regression Analysis: Population Regression Function And Sample Regression Function	Lecture & Question and Answer & Surveying
3	Reading	Least Squares Methods And Assumptions	Lecture & Question and Answer & Surveying
4	Reading	Least Squares Features Of Estimators	Lecture & Question and Answer & Surveying
5	Reading	Confidence Intervals And Hypothesis Tests	Lecture & Question and Answer & Surveying
6	Reading	Confidence Intervals And Hypothesis Tests (Cont.)	Lecture & Question and Answer & Surveying
7	Reading	Individual Prediction And Average Prediction	Lecture & Question and Answer & Surveying
8	-	MID-TERM EXAM	-
9	Reading	Function Patterns In Regression Analysis	Lecture & Question and Answer & Surveying
10	Reading	Maximum Likelihood Method	Lecture & Question and Answer & Surveying
11	Reading	Multiple Regression Analysis: Notation And Assumptions	Lecture & Question and Answer & Surveying
12	Reading	Hypothesis Tests In Multiple Regression	Lecture & Question and Answer & Surveying
13	Reading	Hypothesis Tests In Multiple Regression (Cont.)	Lecture & Question and Answer & Surveying
14	Reading	Tests With two Regression Coefficients	Lecture & Question and Answer & Surveying
15	Reading	Limited Least Squares And Comparison Of Two Regression	Lecture & Question and Answer & Surveying
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Wooldridge, J. M. (2013). Ekonometriye Giris 1 - Modern Yaklasim. Ankara: Nobel Akademik Publications
Wooldridge, J. M. (2013). Ekonometriye Giris 2 - Modern Yaklasim. Ankara: Nobel Akademik Publications

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students define the concepts they learned and match them with their corresponding phenomena in the social world.
2	Students interpret concepts and theories taking into account their historical-cultural contexts.
3	Students compare sociological theories with reference to social problems.
4	Students distinguish the significance of ecological, social and economical sustainability for world’s future.
5	Students develop their knowledge on sustainability by the use of information and communication technologies.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students evaluate qualitative and quantitative data of sociological research studies.
2	Students analyse the complicated interactions between the social, cultural, political, economical and demographical phenomena of the global world.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students design a research by their acquired knowledge and experience.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students research field study considering the principle of cultural relativity, scientific and ethical values.
2	Students efficiently apply the most suitable information and communication technologies in their studies.
3	Students use their knowledge on ecological, social and economical sustainability in all aspects of their lives.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students research on problems which reflect on their fields in the global world undergoing rapid and profound change.

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students criticize their advanced knowledge and skills in an analytical manner.
2	Students develop their knowledge and skills within the frame of scientific, technological and current developments via adopting the principle of lifelong learning.
3	Students act ethically impartial in their research studies.

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students criticize their advanced knowledge and skills in an analytical manner.

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Students apply the principle of cultural relativity, scientific and ethical values with reference to sustainability throughout their studies in their careers.

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	14	2	28
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	7	7
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	6	6
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	46	0	127