EKMS302 Selected Topics in Econometrics

7 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

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

Update Time: 17.11.2022 10:32