Islamic Economics and Finance
Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Islamic Economics and Finance
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Islamic Economics and Finance
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 4760003 | Econometrics and Modeling I | 3 | Spring | 6 | 3+0+0 | 4 | 4 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| 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-Z10 | [email protected] | 7339 |
Course Content
Bu ders, ileri düzey ekonometri ve modellemenin temel kavramlarını ve yöntemlerini kapsamaktadır.
Objectives of the Course
The objective of this course is to enable students to understand advanced concepts and methods of econometrics and to teach them how to use this knowledge in economic data analysis and modeling processes. Students will be able to construct complex economic models and use various econometric techniques to analyze economic relationships more deeply.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| 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 | 4 |
| 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 | 3 |
| P4 | Disiplin içi, çok disiplinli veya çok kültürlü gruplarda ve bireysel çalışabilme | 3 |
| P5 | Ahlaki değerler ve mesleki sorumluluk bilinci ile hareket edebilme | 4 |
| P6 | Alan uygulamalarının, evrensel ve toplumsal etkileri ile hukuki sonuçlarını bilme | 2 |
| P7 | Öğrenim dilinde yazılı ve sözlü iletişim kurabilme, en az bir yabancı dil bilgisine sahip olabilme | 2 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Critically evaluates the results of numerical analyses. | P.3.5 | 1 |
| O2 | Shares research results in the form of scientific articles, reports, and presentations. | P.3.6 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Giving information about the process and scope of the course and least squares method (OLS) |
| 2 | Coefficient of determination and analysis of variance table |
| 3 | Measures of goodness of fit (AIC, SIC, Adjusted R2) |
| 4 | Regression diagnostics I: Multicollinearity |
| 5 | Regression diagnostics II: Heteroscedasticity |
| 6 | Regression diagnostics III: Autocorrelation |
| 7 | Regression diagnostics III: Autocorrelation-continued |
| 8 | Midterm |
| 9 | Regression diagnostics IV: Model identification errors |
| 10 | Regression diagnoses IV continued: Simultaneity problem |
| 11 | Stationary and non-stationary time series (Stationarity tests, cointegration tests) |
| 12 | ARCH-GARCH Models |
| 13 | VAR |
| 14 | General revision |
Textbook or Material
| Resources | Modelleme Stratejileri: Matematiksel, Ekonomik ve Ekonometrik Yaklaşım |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 20 | 20 |
| 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 | 1 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 120 | ||
| Total Work Load / 30 | 4 | ||
| Course ECTS Credits: | 4 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P3 |
|---|---|---|
| O1 | Critically evaluates the results of numerical analyses. | 4 |
| O2 | Shares research results in the form of scientific articles, reports, and presentations. | 5 |