Islamic Economics and Finance Graduate Program Without Thesis
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Islamic Economics and Finance Graduate Program Without Thesis
Course Details
Graduate Education Institute
Programme of Islamic Economics and Finance Graduate Program Without Thesis
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 83511116 | Econometrics and Modeling | 1 | Autumn | 1 | 0+0+0 | 7,5 | 7,5 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Selahattin BEKTAŞ |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Selahattin BEKTAŞ | C-103 | [email protected] | 7339 |
Course Content
The course covers concepts of econometrics and modeling, regression models, time series analysis, panel data analysis, model validation and evaluation, forecasting methods, and simulation techniques.
Objectives of the Course
The objective of this course is to teach students the fundamental principles of econometrics and modeling techniques and to provide them with the ability to apply these techniques for analyzing economic data. Students will learn methods such as regression analysis, time series analysis, and panel data analysis, enabling them to model and solve economic and financial problems.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | İslam İktisadı ve Finans alanında kuramsal ve uygulamalı bilgilere sahip olma, sahip olduğu bilgileri kullanabilme | 5 |
| P2 | İslam İktisadı ve Finans alanında edindiği bilgi, beceri ve yetkinlikleri kullanarak meseleleri tanımlama, veri toplama, değerlendirme, analiz etme, yorumlama ve çözüm önerisi geliştirebilme | 5 |
| P3 | İslam İktisadı ve Finans alanıyla ilgili farklı bilgi kaynaklarına erişip sayısal analiz ve araştırma yapabilme | 5 |
| P4 | Disiplin içi, çok disiplinli veya çok kültürlü gruplarda ve bireysel çalışabilme | 3 |
| P5 | Öğrenim dilinde yazılı ve sözlü iletişim kurabilme, en az bir yabancı dil bilgisine sahip olabilme | 2 |
| P6 | Ahlaki değerler ve mesleki sorumluluk bilinci ile hareket edebilme | 3 |
| P7 | Alan uygulamalarının, evrensel ve toplumsal etkileri ile hukuki sonuçlarını bilme | 3 |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to Econometrics and Basic Concepts |
| 2 | Introduction to Regression Analysis |
| 3 | Linear Regression Models and Applications |
| 4 | Multiple Regression and Variable Selection |
| 5 | Model Diagnostics and Hypothesis Testing |
| 6 | Introduction to Time Series Analysis |
| 7 | Stationarity Tests and Time Series Models |
| 8 | Introduction to Panel Data Analysis |
| 9 | Fixed and Random Effects Models |
| 10 | Model Selection and Forecasting Methods |
| 11 | Simulation Techniques and Applications |
| 12 | Model Validation and Evaluation |
| 13 | Final Review and Application |
| 14 | Final Review and Application |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Homework | - | - |
| Presentation | - | - |
| Seminar | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||