dm.ieu.edu.tr
Course Name | |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
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Fall/Spring |
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Course Type | Elective | ||||||||||||||||||||
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;
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Course Description |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | X | |
Media and Managment Skills Courses | ||
Transferable Skill Courses |
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. |
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 |
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 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have a grasp of basic mathematics, applied mathematics and theories and applications of statistics. | |||||
2 | To be able to use theoretical and applied knowledge acquired in the advanced fields of mathematics and statistics, | |||||
3 | To be able to define and analyze problems and to find solutions based on scientific methods, | |||||
4 | To be able to apply mathematics and statistics in real life with interdisciplinary approach and to discover their potentials, | X | ||||
5 | To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, | X | ||||
6 | To be able to criticize and renew her/his own models and solutions, | X | ||||
7 | To be able to tell theoretical and technical information easily to both experts in detail and nonexperts in basic and comprehensible way, | |||||
8 | To be able to use international resources in English and in a second foreign language from the European Language Portfolio (at the level of B1) effectively and to keep knowledge up-to-date, to communicate comfortably with colleagues from Turkey and other countries, to follow periodic literature, | |||||
9 | To be familiar with computer programs used in the fields of mathematics and statistics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, | X | ||||
10 | To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, | |||||
11 | To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, | |||||
12 | By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, | |||||
13 | To be able to continue lifelong learning by renewing the knowledge, the abilities and the compentencies which have been developed during the program, and being conscious about lifelong learning, | |||||
14 | To be able to adapt and transfer the knowledge gained in the areas of mathematics and statistics to the level of secondary school, | |||||
15 | To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest