EKMS302 Selected Topics in Econometrics

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMS302
Name Selected Topics in Econometrics
Term 2019-2020 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 Doç. Dr. HALİL İBRAHİM KESKİN (Bahar) (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

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.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explains Econometric concepts 5
PLO02 - Acquires basic Mathematics, Statistics and Operation Research concepts 4
PLO03 - Equipped with the foundations of Economics, and develops Economic models 4
PLO04 - Describes the necessary concepts of Business 1
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 - Estimates the model consistently and analyzes & interprets its results 4
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 4
PLO08 - Collects, edits, and analyzes data 4
PLO09 - Uses a package program of Econometrics, Statistics, and Operation Research 4
PLO10 - Effectively works, take responsibility, and the leadership individually or as a member of a team 4
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 4
PLO12 - Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied 4
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 4
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 3
PLO15 - Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 3
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 3
PLO17 - Recognizes and implements social, scientific, and professional ethic values 3
PLO18 - Follows actuality, and interprets the data about economic and social events 3


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 Mid-Term Exam Preparation for mid-tem 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 Term Exams Preparation for final exam
17 Term Exams Preparation for final exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
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

Update Time: 01.05.2025 12:15