Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
---|---|---|---|---|---|
HIT332 | INTRODUCTION TO ECONOMETRICS | 5 | 3 | 3 | 5 |
GENERAL INFORMATION |
|
---|---|
Language of Instruction : | Turkish |
Level of the Course Unit : | BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : | Elective |
Mode of Delivery of the Course Unit | - |
Coordinator of the Course Unit | Assist.Prof. GÜLŞEN FİLAZOĞLU ÇOKLUK |
Instructor(s) of the Course Unit | |
Course Prerequisite | No |
OBJECTIVES AND CONTENTS |
|
---|---|
Objectives of the Course Unit: | This course aims to build foundation to provide solutions for various economic problems based on statistics and to evaluate what needs to be done in order to make the right decisions during the economic forecasts for the future. |
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 |
Use the basic econometric estimation methods for future economic forecasts |
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 | Reading | Definition, Goals, Steps In Econometrics | Lecture & Question and Answer & Surveying |
2 | Reading | Simple Linear Regression Analysis: Population Regression Function And Sample Regression Function | Lecture & Question and Answer & Surveying |
3 | Reading | Least Squares Methods And Assumptions | Lecture & Question and Answer & Surveying |
4 | Reading | Least Squares Features Of Estimators | Lecture & Question and Answer & Surveying |
5 | Reading | Confidence Intervals And Hypothesis Tests | Lecture & Question and Answer & Surveying |
6 | Reading | Confidence Intervals And Hypothesis Tests (Cont.) | Lecture & Question and Answer & Surveying |
7 | Reading | Individual Prediction And Average Prediction | Lecture & Question and Answer & Surveying |
8 | - | MID-TERM EXAM | - |
9 | Reading | Function Patterns In Regression Analysis | Lecture & Question and Answer & Surveying |
10 | Reading | Maximum Likelihood Method | Lecture & Question and Answer & Surveying |
11 | Reading | Multiple Regression Analysis: Notation And Assumptions | Lecture & Question and Answer & Surveying |
12 | Reading | Hypothesis Tests In Multiple Regression | Lecture & Question and Answer & Surveying |
13 | Reading | Hypothesis Tests In Multiple Regression (Cont.) | Lecture & Question and Answer & Surveying |
14 | Reading | Tests With two Regression Coefficients | Lecture & Question and Answer & Surveying |
15 | Reading | Limited Least Squares And Comparison Of Two Regression | Lecture & Question and Answer & Surveying |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
SOURCE MATERIALS & RECOMMENDED READING |
---|
Wooldridge, J. M. (2013). Ekonometriye Giris 1 - Modern Yaklasim. Ankara: Nobel Akademik Publications |
Wooldridge, J. M. (2013). Ekonometriye Giris 2 - Modern Yaklasim. Ankara: Nobel Akademik Publications |
ASSESSMENT |
|||
---|---|---|---|
Assessment & Grading of In-Term Activities | Number of Activities | Degree of Contribution (%) | Description |
Level of Contribution | |||||
---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE |
|||||||
---|---|---|---|---|---|---|---|
Theoretical |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use knowledge sources consisting of the most effective methods and up-to-date information, implementation of tools and materials about psychology and supporting disciplinaries.
(Blooms 3)
|
||||||
2 |
Determine problems in the field of psychology and solve them. (Blooms 3)
|
KNOWLEDGE |
|||||||
---|---|---|---|---|---|---|---|
Factual |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Discriminate between normal and abnormal behaviours. (Blooms 2)
|
||||||
2 |
Interpret psychology researches and report on them. (Blooms 3)
|
SKILLS |
|||||||
---|---|---|---|---|---|---|---|
Cognitive |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Relate between psychology and other social sciences on relations. (Blooms 4)
|
SKILLS |
|||||||
---|---|---|---|---|---|---|---|
Practical |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Apply psychological tests. (Blooms 3)
|
||||||
2 |
Integrate knowledge and skills gained on the theories of contemporary psychology in the phases of helping individuals. (Blooms 6)
|
||||||
3 |
Conduct several experiments in the field of psychology. (Blooms 6)
|
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Autonomy & Responsibility |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Collaborate with relevant organizations and individuals on the field studies. (Blooms 6)
|
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Learning to Learn |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Integrate developments in the field of psychology to the existing knowledge.
(Blooms 6)
|
||||||
2 |
Scientifically analyse human behaviours. (Blooms 4)
|
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Communication & Social |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Explain knowledge and ideas gained in the field fluently and apprehensibly in a written way and verbally. (Blooms 2)
|
||||||
2 |
Recognize individual, national and universal effects of problems in the field of psychology. (Blooms 2)
|
OCCUPATIONAL |
|||||||
---|---|---|---|---|---|---|---|
Occupational and/or Vocational |
|||||||
Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Integrate computer software and hardware and statistics in the field of psychology to their studies. (Blooms 6)
|
||||||
2 |
Survey developments in informatics and communication technologies. (Blooms 4)
|
||||||
3 |
Support social projects in the field of psychology. (Blooms 5)
|
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 | 14 | 3 | 42 |
Land Surveying | 0 | 0 | 0 |
Group Work | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Reading | 14 | 2 | 28 |
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 | 1 | 7 | 7 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 1 | 6 | 6 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 46 | 0 | 127 |
Total Workload of the Course Unit | 127 | ||
Workload (h) / 25.5 | 5 | ||
ECTS Credits allocated for the Course Unit | 5,0 |