Information
Code | EKMS302 |
Name | Selected Topics in Econometrics |
Term | 2022-2023 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 |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. SEDA ŞENGÜL |
Course Instructor |
Doç. Dr. ÇİLER SİGEZE GÜNEY
(A Group)
(Ins. in Charge)
|
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
No prerequisites are required.
Resources
Kenan Terzioğlu "Ekonometride Güncel Konular"
Notes
Lectures
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. |
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 | Has the ability to analyze/interpret at the conceptual level to develop solutions to problems | 4 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data | 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 which does not research | 4 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | It develops traditional approaches, practices and methods into new working methods when it deems necessary | 2 |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 2 |
PLO12 | 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 |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. | 4 |
PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research | 5 |
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. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
2 | Bayesian econometrics (second lesson) | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
3 | Simulation techniques (first lesson) | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
4 | Simulation techniques | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
5 | Latent variable models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
6 | Latent variable models (second lesson) | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
7 | Doğrusal Olmayan Zaman Serisi Modelleri | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
8 | Mid-Term Exam | Preparation for mid-tem exam | Ölçme Yöntemleri: Yazılı Sınav |
9 | Non-Gaussian time series models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
10 | Distribution theory | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
11 | Distribution theory (application) | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
12 | Non-parametric inference | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
13 | Non-parametric inference (second lesson) | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
14 | Panel data models | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
15 | Panel data models (second lesson) | Students will be prepared by studying relevant subjects from source books according to the weekly program. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
16 | Term Exams | Preparation for final exam | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Preparation for final exam | Ölçme Yöntemleri: Yazılı Sınav |
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 |