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| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. | |
| Code | EKMS302 |
| Name | Selected Topics in Econometrics |
| Term | 2017-2018 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 7 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SEDA ŞENGÜL |
| Course Instructor |
Prof. Dr. HASAN ALTAN ÇABUK
(Bahar)
(A Group)
(Ins. in Charge)
Doç. Dr. SEMİN TOPALOĞLU PAKSOY (Bahar) (A Group) (Asst. Ins.) Prof. Dr. HÜSEYİN GÜLER (Bahar) (A Group) (Asst. Ins.) Prof. Dr. SÜLEYMAN BİLGİN KILIÇ (Bahar) (A Group) (Asst. Ins.) Prof. Dr. ERSİN KIRAL (Bahar) (A Group) (Asst. Ins.) Prof. Dr. GÜLSEN KIRAL (Bahar) (A Group) (Asst. Ins.) Prof. Dr. KENAN LOPCU (Bahar) (A Group) (Asst. Ins.) Prof. Dr. EBRU ÖZGÜR GÜLER (Bahar) (A Group) (Asst. Ins.) Prof. Dr. MEHMET ÖZMEN (Bahar) (A Group) (Asst. Ins.) Prof. Dr. SEDA ŞENGÜL (Bahar) (A Group) (Asst. Ins.) |
Course Goal / Objective
The purpose of this course is to develop the research ability of students through intensive discussion of set readings
Course Content
Special topics may be offered from time to time which reflect the interests of faculty members. So the topics may vary but typically covers recent developments in econometrics research.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Critically evaluate the significance and research methodologies of contributions to the subject area |
| LO02 | Assess relevant applications of the econometric techniques |
| LO03 | Apply the econometric techniques to test theories |
| LO04 | Develop knowledge on relevant issues and problems in economics |
| LO05 | obtain information about specific econometric techniques. |
| LO06 | Analyze and interpret an econometric model. |
| LO07 | Describes the knowledge of statistics, operations research and mathematics |
| LO08 | Solves econometric problem using package program. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires basic Mathematics, Statistics and Operation Research concepts | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Describes the necessary concepts of Business | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Equipped with the foundations of Economics, and develops Economic models | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzes/interprets at the conceptual level to develop solutions to problems | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data from reliable data sources for the purpose of study | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Interprets the results analyzed with the model | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Combines the information obtained from different sources within the framework of academic rules in a field of research | 4 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Adapts traditional approaches, practices and methods to a new study when necessary | 2 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research | 5 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 2 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities | 4 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. | 4 |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses Turkish and at least one other foreign language, academically and in the business context | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on current economic and social issues | |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Bayesian econometrics | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 2 | Bayesian econometrics | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 3 | Simulation techniques | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 4 | Simulation techniques | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 5 | Latent variable models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 6 | Latent variable models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 7 | Doğrusal Olmayan Zaman Serisi Modelleri | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 8 | Midterm Exam | ||
| 9 | Non-Gaussian time series models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 10 | Distribution theory | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 11 | Distribution theory | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 12 | Non-parametric inference | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 13 | Non-parametric inference | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 14 | Panel data models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 15 | Panel data models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | |
| 16 | Final Exam | ||
| 17 | Final Exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 5 | 10 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 18 | 18 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 170 | ||
| Total Workload / 25 (h) | 6,80 | ||
| ECTS | 7 ECTS | ||