TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. | |
| Code | EKMZ301 |
| Name | Econometrics I |
| Term | 2017-2018 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. HASAN ALTAN ÇABUK |
| Course Instructor |
Prof. Dr. HASAN ALTAN ÇABUK
(Güz)
(A Group)
(Ins. in Charge)
Prof. Dr. SEDA ŞENGÜL (Güz) (B Group) (Ins. in Charge) |
Course Goal / Objective
This course Econometrics, Economics and Finance Sections are registered with the knowledge of basic mathematics and statistics İ.İ.B. School aims to teach students the methods of basic econometrics. This course titles contained in the above-mentioned branches of econometric applications for students who want to do the research aims to support their work areas
Course Content
Econometrics, econometrics methods, econometrics models
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understands the concept of regression. |
| LO02 | Applies the OLS estimation method in the two-variable regression model |
| LO03 | Makes statistical inferences for two-variable regression model |
| LO04 | Explain various functional forms of regression models |
| LO05 | Makes statistical inferences with a multivariate regression model |
| LO06 | Solves econometric problem using package program. |
| LO07 | Being aware of the necessity of lifelong learning, follows the current developments in the field and constantly renews itself |
| LO08 | Apply the related econometric theory in practice. |
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 | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires basic Mathematics, Statistics and Operation Research concepts | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Describes the necessary concepts of Business | |
| 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 | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzes/interprets at the conceptual level to develop solutions to problems | 5 |
| 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 | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Combines the information obtained from different sources within the framework of academic rules in a field of research | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Adapts traditional approaches, practices and methods to a new study when necessary | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| 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 | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. | |
| 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 | Subject of Econometrics and History of Econometrics | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 2 | Some Basic Mathematics and Statistics Rules | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 3 | Mathematical form for Economics Theory | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 4 | Simple Linear Regression Model: OLS Estimation | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 5 | Simple Linear Regression Model: Properties of Econometrics and Assumptions | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 6 | Simple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 7 | Problem solving | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 8 | Midterm exam | ||
| 9 | Multiple Linear Regression Model: OLS Estimation | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 10 | Multiple Linear Regression Model:Properties of Econometrics and Assumptions | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 11 | Multiple Linear Regression Model: OLS Estimation with Method of Deviation from Mean | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 12 | Multiple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 13 | Multiple Linear Regression Model: F test | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 14 | Problem solving | Students will be prepared by studying relevant subjects from source books according to weekly program | |
| 15 | Problem solving | Students will be prepared by studying relevant subjects from source books according to 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 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||