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- General Description of the Institution
- Address of İzmir University of Economics
- Academic Authorities
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- Economics
- Qualification Awarded
- Level of Qualification
- Specific Admission Requirements
- Qualification Requirements and Regulations
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- Profile of the Program
- Program Outcomes
- Course & Program Outcomes Matrix
- Occupational Profiles of Graduates
- Access to Further Studies
- Program Structure
- Course Structure Diagram with Credits
- Exam Regulations & Assessment & Grading
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COURSE INTRODUCTION AND APPLICATION INFORMATION
eco.ieu.edu.tr
| Course Name | |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| Fall |
| Prerequisites |
| ||||||||||||||||||||
| Course Language | |||||||||||||||||||||
| Course Type | Required | ||||||||||||||||||||
| Course Level | - | ||||||||||||||||||||
| Mode of Delivery | - | ||||||||||||||||||||
| Teaching Methods and Techniques of the Course | |||||||||||||||||||||
| Course Coordinator | - | ||||||||||||||||||||
| Course Lecturer(s) | - | ||||||||||||||||||||
| Assistant(s) | - | ||||||||||||||||||||
| Course Objectives | |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description |
|
| Core Courses | X |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Mathematical and Statistical Foundations | |
| 2 | Introduction to EViews | |
| 3 | Overview of Regression Analysis | Using Econometrics: A Practical Guide, Chapter 1 |
| 4 | Ordinary Least Squares, Learning to Use Regression Analysis | Using Econometrics: A Practical Guide, Chapters 2 and 4 |
| 5 | The Classical Model | Using Econometrics: A Practical Guide, Chapter 4 |
| 6 | Hypothesis Testing | Using Econometrics: A Practical Guide, Chapter 5 |
| 7 | Multicollinearity | Using Econometrics: A Practical Guide, Chapter 8 |
| 8 | Heteroskedasticity | Using Econometrics: A Practical Guide, Chapter 10 |
| 9 | Serial Correlation | Using Econometrics: A Practical Guide, Chapter 9 |
| 10 | Choosing Independent Variables, Choosing a Functional Form | Using Econometrics: A Practical Guide, Chapters 6 and 7 |
| 11 | Endogeneity and Instrumental Variables Regression | |
| 12 | Time Series Analysis I | Using Econometrics: A Practical Guide, Chapter 12 |
| 13 | Time Series Analysis II | Using Econometrics: A Practical Guide, Chapters 12 and 15 |
| 14 | Panel Data Analysis | Using Econometrics: A Practical Guide, Chapter 16 |
| 15 | Additional Topic(s) (Optional and Time Permitting) | |
| 16 | Additional Topic(s) (Optional and Time Permitting) |
| Course Notes/Textbooks | A.H. Studenmund, Using Econometrics: A Practical Guide (Sixth Edition), Prentice Hall. |
| Suggested Readings/Materials | • Peter E. Kennedy, A Guide to Econometrics (5th Edition) • Jeffrey M. Woolridge, Introductory Econometrics: A Modern Approach (4th Edition) • Joshua D. Angrist and JornSteffen Pischke, Mostly Harmless Econometrics: An Empiricist’s Companion. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 2 | 5 |
| Portfolio | ||
| Homework / Assignments | 5 | 15 |
| Presentation / Jury | ||
| Project | 1 | 30 |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 20 |
| Final Exam | 1 | 30 |
| Total |
| Weighting of Semester Activities on the Final Grade | 70 | |
| Weighting of End-of-Semester Activities on the Final Grade | 30 | |
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
| Study Hours Out of Class | 16 | 2 | |
| Field Work | |||
| Quizzes / Studio Critiques | 2 | 2.5 | |
| Portfolio | |||
| Homework / Assignments | 5 | 2 | |
| Presentation / Jury | |||
| Project | 1 | 30 | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 10 | |
| Final Exams | 1 | 15 | |
| Total | 150 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | To have a sound knowledge of the quantitative and qualitative methods that will help to examine the premises of different theories for an applied subject so that a contribution to solving current economic problems can be made. | X | ||||
| 2 | To have the experience of writing, using software, and doing presentations in the newspapers, magazines, meetings, panels, and in equivalent virtual platforms (internet), in order to share their accumulated knowledge and problem solving ability acquired during their education. | X | ||||
| 3 | To be able to participate in academic, professional, regional, and global networks and to utilize these networks efficiently. | X | ||||
| 4 | To have adequate social responsibility and awareness with regards to the needs of the society and to have sufficient experience and qualifications to organize and support the activities to influence the social dynamics in line with the social goals. | |||||
| 5 | To be able to integrate the knowledge and training acquired during the university education with personal and work experience and produce a synthesis of knowledge she requires. | |||||
| 6 | To have the ability to evaluate his/her advance (post graduate) level educational needs and do necessary planning to fulfill those needs through the acquired capability to think analytically and critically. | X | ||||
| 7 | To have sufficient practical and theoretical knowledge base in order to define the economic agents and their interaction both in the national and global level, to process economic data and to implement scientific research for development of economic policies. | X | ||||
| 8 | Keeping in mind that economics is a social science, to have the skills to integrate social dynamics into economic process both as an input and an output and to be open to theoretical innovations in this direction. | |||||
| 9 | To associate accumulated knowledge acquired during the university education with historical and cultural qualities of the society and to convey it to different groups. | |||||
| 10 | To be able to follow knowledge and change in economics and communicate with colleagues in a foreign language. | X | ||||
| 11 | To possess social, scientific and ethical values at the data collection, interpretation and dissemination stages of economic analysis. | X | ||||
| 12 | To have advanced level of speaking and writing skills of a second foreign language to support continuation of post graduate professional and individual development | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest