UİY747

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

Information

Code UİY747
Name
Term 2023-2024 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
1


Course Goal / Objective

Providing theoretical equipment in analyzing socioeconomic relations. For this aim, understanding econometric definitions and concepts, doing statistical analysis and explaiing these.

Course Content

Two-variable regresssiıon and LS estimation method, classical linear regression model assumptions, estimation and statistical inference in regression models, regressions with dummy variables, violations of classical models assumptions

Course Precondition

Successful completion of two mathematics and two statistics courses at the undergraduate level.

Resources

Carter Hill, William Griffiths, and George Judge, Undergraduate Econometrics, 2nd Edition, John Wiley and Sons, 2001.

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explaining the concept of regression
LO02 Applying OLS estimation method to the two-variable regression
LO03 Analysing statistical inference for two-variable regression model
LO04 Explaining various functional forms of regression models


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has the conceptual and theoretical competence to explain the phenomena in the disciplines of Political Science and International Relations. 4
PLO02 Bilgi - Kuramsal, Olgusal Has sufficient knowledge about basic conceptual approaches used in the field of social sciences. 4
PLO03 Bilgi - Kuramsal, Olgusal Develops skills of defining and analyzing the international, regional and national oriented issues, producing appropriate conflict-resolution techniques and negotiation skills. 5
PLO04 Bilgi - Kuramsal, Olgusal Uses the collected data to explain social phenomena. 5
PLO05 Bilgi - Kuramsal, Olgusal Analyzes the interactions between concepts, phenomena and events in the field of social sciences in an interdisciplinary context. 5
PLO06 Bilgi - Kuramsal, Olgusal Learns taking responsibility, leading and working effectively individually and/or in a team.
PLO07 Beceriler - Bilişsel, Uygulamalı Being aware of the significance of lifelong learning, follows current developments in their field and improves herself/himself.
PLO08 Beceriler - Bilişsel, Uygulamalı Gains the ability to benefit from various sources within the framework of academic rules in a field of study, to synthesize the information he/she has obtained, and to effectively present it.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Questions traditional approaches, practices and methods. 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Recognizes and applies social, scientific and ethical values.
PLO11 Yetkinlikler - Öğrenme Yetkinliği Develops critical thinking skills. 3
PLO12 Bilgi - Kuramsal, Olgusal Identifies the international and national issues by methodologies used in the disciplines of Political Science and International Relations; chooses the appropriate analysis techniques across the issues and applies the appropriate empirical studies. 5


Week Plan

Week Topic Preparation Methods
1 Introduction to concept of regression and basic information Reading the textbook Öğretim Yöntemleri:
Anlatım
2 The content of the concept of regression and basic information Reading the textbook Öğretim Yöntemleri:
Anlatım
3 Introduction to the estimation of two-variable regression Reading the textbook Öğretim Yöntemleri:
Anlatım
4 The contents of LS estimation methods Reading the textbook Öğretim Yöntemleri:
Anlatım
5 Assumptions of LS estimation methods Reading the textbook Öğretim Yöntemleri:
Anlatım
6 Application of LS estimation method Reading the textbook Öğretim Yöntemleri:
Anlatım
7 Properties of LS estimators. Reading the textbook Öğretim Yöntemleri:
Anlatım
8 Midterm Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Introduction to two-variable regression model. Reading the textbook Öğretim Yöntemleri:
Anlatım
10 Confidence interval estimation for two-variable regression model. Reading the textbook Öğretim Yöntemleri:
Anlatım
11 Hypothesis testing for two-variable regression model Reading the textbook Öğretim Yöntemleri:
Anlatım
12 two-variable regression model, evaluation Reading the textbook Öğretim Yöntemleri:
Anlatım
13 Introduction to Functional forms of regression models Reading the textbook Öğretim Yöntemleri:
Anlatım
14 Functional forms of regression models Reading the textbook Öğretim Yöntemleri:
Anlatım
15 Introduction to Multivariate regression models Reading the textbook Öğretim Yöntemleri:
Anlatım
16 Term Exams Reading the textbook Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Studying the whole course content 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 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 11.05.2023 09:37