| 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 |
|