TR EN

INTRODUCTION TO ECONOMETRIC PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
HRY322 INTRODUCTION TO ECONOMETRIC 5 3 3 5

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : , TYY: + , EQF-LLL: , QF-EHEA:
Type of the Course : Elective
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit
Instructor(s) of the Course Unit
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: The aim of the course; basic econometric analysis methods and their theoretical foundations.
Contents of the Course Unit: Contents of the course include the subjects as in Multiple Regression, deviations from assumptions, autocorrelation, multiple linear connection, changing variance autoregressive models, distributed lagged models, dummy variable, systems of simultaneous equation.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Define the basic econometric concepts.
Explain the econometrics-related terms, forecast and prediction techniques through case studies.
Analyze the validity of economic theory by using econometric techniques.
Compare the relationships between economic variables in econometric terms.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Content of Lesson Lecture & Question and Answer & Surveying
2 Reading,Presantation Basic Statistical Concepts Lecture & Question and Answer & Surveying
3 Reading,Presantation Definition of Econometry Lecture & Question and Answer & Surveying
4 Reading,Presantation Simple Linear Regression Analysis: Population Regression Function And Sample Regression Function Lecture & Question and Answer & Surveying
5 Reading,Presantation Least Squares Methods And Assumptions Lecture & Question and Answer & Surveying
6 Reading,Presantation Individual Prediction And Average Prediction Lecture & Question and Answer & Surveying
7 Reading,Presantation Confidence Intervals And Hypothesis Tests Lecture & Question and Answer & Surveying
8 - MID-TERM EXAM -
9 Reading,Presantation General Revision Lecture & Question and Answer & Surveying
10 Reading,Presantation Confidence Intervals And Hypothesis Tests Lecture & Question and Answer & Surveying
11 Reading,Presantation Multiple Regression Analysis: Notation And Assumptions Lecture & Question and Answer & Surveying
12 Reading,Presantation Multiple Regression Analysis: Notation And Assumptions Lecture & Question and Answer & Surveying
13 Reading,Presantation Hypothesis Tests In Multiple Regression Lecture & Question and Answer & Surveying
14 Reading,Presantation Hypothesis Tests In Multiple Regression Lecture & Question and Answer & Surveying
15 Reading,Presantation General Revision Lecture & Question and Answer & Surveying
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

D.N. Gujarati & D.C. Porter (2009). Basic Econometrics
Kutlar, K.(2012).Ekonometriye Giriş, Nobel Publication
Wooldridge, J. M. (2013). Ekonometriye Giriş 1 - Modern Yaklaşım. Ankara: Nobel Akademic Publication
Wooldridge, J. M. (2013). Ekonometriye Giriş 1 - Modern Yaklaşım. Ankara: Nobel Akademic Publication

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Explain the basic concepts of Social Service, working fields and application frameworks.
0
2
Uses up-to-date information on Social Service field by associating it with the theory and application information of Social Service.
0

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Establish the link between the application frameworks of Social Service.
0
2
Evaluate the developments in the field of migration, globalization and human rights in the new world by using the theoretical knowledge in the field.
0

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Using the research methods related to the field of Social Service, concludes scientific conclusions about social problems.
0
2
Examine the spatial legislation of Social Service and develop new strategies for implementation.
0

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Solve the problems specific to the field of Social Service according to scientific data.
0
2
Conduct trainings for individual, family and society by using advanced theoretical and practical knowledge in the field of Social Service.
0

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Develop his / her competence in this area by taking the leadership role in working with individuals, groups and society and taking responsibility as a team member.
0

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Describes a life worthy of dignity of the person who is the subject of social service science.
0

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Configures the communication between institutions in order to solve the problems.
0
2
Uses the educational role in the social service area.
0
3
Produces projects that will increase the consciousness level of the society.
1

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Collaborate with other professionals in the work team through an interdisciplinary approach at the stage of Social Service intervention
0
2
Acts as a social worker in accordance with the laws, regulations and professional ethics rules.
0
3
Organize their work in accordance with their rights and responsibilities as an individual.
2

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 13 2 26
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 7 5 35
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 5 4 20
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 41 0 125
Total Workload of the Course Unit 125
Workload (h) / 25.5 4,9
ECTS Credits allocated for the Course Unit 5,0