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INTRODUCTION TO ECONOMETRIC PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
HRY322 INTRODUCTION TO ECONOMETRIC 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 Face to face
Coordinator of the Course Unit Assist.Prof.Dr. LOKMAN KANTAR
Instructor(s) of the Course Unit

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: The aim of the course; basic econometric analysis methods and their theoretical foundations.
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.
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 - Content of Lesson Lecture & Question and Answer & Surveying
2 Reading,Presantation Basic Statistical Concepts Lecture & Question and Answer & Surveying
3 Reading,Presantation Definition of Econometry Lecture & Question and Answer & Surveying
4 Reading,Presantation Simple Linear Regression Analysis: Population Regression Function And Sample Regression Function Lecture & Question and Answer & Surveying
5 Reading,Presantation Least Squares Methods And Assumptions Lecture & Question and Answer & Surveying
6 Reading,Presantation Individual Prediction And Average Prediction Lecture & Question and Answer & Surveying
7 Reading,Presantation Confidence Intervals And Hypothesis Tests Lecture & Question and Answer & Surveying
8 - MID-TERM EXAM -
9 Reading,Presantation General Revision Lecture & Question and Answer & Surveying
10 Reading,Presantation Confidence Intervals And Hypothesis Tests Lecture & Question and Answer & Surveying
11 Reading,Presantation Multiple Regression Analysis: Notation And Assumptions Lecture & Question and Answer & Surveying
12 Reading,Presantation Multiple Regression Analysis: Notation And Assumptions Lecture & Question and Answer & Surveying
13 Reading,Presantation Hypothesis Tests In Multiple Regression Lecture & Question and Answer & Surveying
14 Reading,Presantation Hypothesis Tests In Multiple Regression Lecture & Question and Answer & Surveying
15 Reading,Presantation General Revision Lecture & Question and Answer & Surveying
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

D.N. Gujarati & D.C. Porter (2009). Basic Econometrics
Kutlar, K.(2012).Ekonometriye Giriş, Nobel Publication
Wooldridge, J. M. (2013). Ekonometriye Giriş 1 - Modern Yaklaşım. Ankara: Nobel Akademic Publication
Wooldridge, J. M. (2013). Ekonometriye Giriş 1 - Modern Yaklaşım. Ankara: Nobel Akademic Publication

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define basic concepts related with banking, insurance and finance.
0
2
Relates the theoretical and practical knowledge in the field to economics, business, law, statistics, accounting and marketing
2

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate banking and insurance applications to financial theories, mathematical and statistical methods.
2
2
Relate the information and facts in the field with other social sciences such as law, sociology, philosophy and history.
0

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Explain the planning and implementation process in banking and insurance transactions.
0
2
Provide solutions for the problems encountered in banking and insurance transactions.
0

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Use theoretical and practical knowledge in the field of banking and insurance transactions.
0
2
By analyzing economic data accurately, manage savings and portfolio investments to minimize financial risks.
0

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
He/She works as a leader or a team member in a teamwork from the planning of the banking transactions to the implementation and performs the task assigned to them within the team.
0

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Gain the basic knowledge necessary for the planning process of banking and insurance activities and human resources performance management.
0
2
Use the computer programs related with field in banking and insurance transactions.
0

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Cooperate to bring innovative ideas to the stakeholders in the sector using banking insurance-related databases, information and communication technologies.
0
2
Research on scientific, sectoral developments and innovations related to the field with lifelong learning as a principle.
2

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Analyze financial data related to his / her field.
0
2
Apply knowledge and skills related to his / her field by taking into account his legal, social and ethical responsibilities.
2

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 13 2 26
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
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 7 5 35
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 5 4 20
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 41 0 125
Total Workload of the Course Unit 125
Workload (h) / 25.5 4,9
ECTS Credits allocated for the Course Unit 5,0