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Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. | |
| Code | EKMS302 |
| Name | Selected Topics in Econometrics |
| Term | 2018-2019 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. |
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 | 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 | ||