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BUSINESS ADMINISTRATION (Ph.D.) (ENGLISH) PROGRAMME
COURSE DESCRIPTION
|
| Name of the Course Unit
| Code
| Year
| Semester
| In-Class Hours (T+P)
| Credit
| ECTS Credit
|
| DECISION SCIENCES |
MNG603 |
2 |
3 |
3+0 |
3.0 |
8.0 |
| General Information |
| Language of Instruction |
English |
| Level of the Course Unit |
Doctorate Degree, TYYÇ Level: 8, EQF-LLL Level: 8, QF-EHEA Level: Third Cycle |
| Type of the Course |
Compulsory |
| Mode of Delivery of the Course Unit |
Distance Learning |
| Work Placement(s) Requirement for the Course Unit |
Yes |
| Coordinator of the Course Unit |
|
| Instructor(s) of the Course Unit |
Assoc. Prof. (Ph.D.) HATİCE İMAMOĞLU
|
| Assistant(s) of the Course Unit |
|
| Prerequisites and/or co-requisities of the course unit |
| CATEGORY OF THE COURSE UNIT |
|---|
| Category of the Course Unit |
Degree of Contribution (%) |
| Fundamental Course in the field |
- |
| Course providing specialised skills to the main field |
- |
| Course providing supportive skills to the main field |
% 100 |
| Course providing humanistic, communication and management skills |
- |
| Course providing transferable skills |
- |
| Objectives and Contents |
| Objectives of the Course Unit |
This course is designed to help students develop and improve the skills in basic econometric analysis that they will need to carry out empirical research and data analysis in the field. The aim of the course is also to introduce the use of various types of data sources, to provide an introduction to the techniques of econometrics and statistics that are used in empirical research, and to consider practical problems that may be encountered when applying these techniques. The course will also provide experience in the use of modern econometric software, EVIEWS. |
| Contents of the Course Unit |
|
| Contribution of the Course Intending to Provide the Professional Education |
|
No
|
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
|
| 1 |
Introduction to the basic econometrics and its underlying principles | | 2 |
Correlation and Regression analyses in time series micro and macro data | | 3 |
Deviations from the Classical Linear Regression Models | | 4 |
Detecting and solving problems in Regression Analyses | | 5 |
Using EVIEWS successfully in estimating a proper economic and financial model | | 6 |
- | | 7 |
- | | 8 |
- | | 9 |
- | | 10 |
- |
| Weekly Course Contents and Study Materials for Preliminary & Further Study |
| Week |
Topics (Subjects) |
Preparatory & Further Activities |
| 1 |
Introduction |
No file found
|
| 2 |
The Nature of Statistics and Econometrics (Chapter 1) |
No file found
|
| 3 |
Two-Variable Regression Analysis: Some Basic Ideas (Chapter 2) |
No file found
|
| 4 |
Two-Variable Regression Analysis: The Problem of Estimation (Chapter 3) |
No file found
|
| 5 |
The Normality Assumption: Classical Normal Linear Regression Model (CNLRM) (Chapter 4) |
No file found
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| 6 |
Two-Variable Regression: Interval Estimation and Hypothesis Testing (Chapter 5) |
No file found
|
| 7 |
Extensions of the Two-Variable Linear Regression Model (Chapter 6) |
No file found
|
| 8 |
Multiple Regression Analysis: The Problem of Estimation (Chapter 7) |
No file found
|
| 9 |
Multiple Regression Analysis: The Problem of Inference (Chapter 8) |
No file found
|
| 10 |
Deviations from Classical Linear Regression Models: Multicollinearity (Chapter 10) |
No file found
|
| 11 |
Deviations from Classical Linear Regression Models: Heteroscedasticity, and Autocorrelation (Chapter 11) |
No file found
|
| 12 |
Deviations from Classical Linear Regression Models: Autocorrelation (Chapter 12) |
No file found
|
| 13 |
Time Series Econometrics I: Stationarity, Unit Roots, and Cointegration (Chapter 21) |
No file found
|
| 14 |
Time Series Econometrics I: Stationarity, Unit Roots, and Cointegration (Chapter 21) (cont.) |
No file found
|
| SOURCE MATERIALS & RECOMMENDED READING |
|---|
| 1- |
| MATERIAL SHARING |
|---|
| Course Notes |
No file found |
| Presentations |
No file found |
| Homework |
No file found |
| Exam Questions & Solutions |
No file found |
| Useful Links |
No file found |
| Video and Visual Materials |
No file found |
| Other |
No file found |
| Announcements |
No file found |
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CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
|
|
LEARNING OUTCOMES OF THE COURSE UNIT NOT DEFINED
|
| *Level of Contribution (0-5): Empty-Null (0), 1- Very Low, 2- Low, 3- Medium, 4- High, 5- Very High |
No
|
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
|
PROGRAMME LEARNING OUTCOMES |
| 1 |
Introduction to the basic econometrics and its underlying principles | | | 2 |
Correlation and Regression analyses in time series micro and macro data | | | 3 |
Deviations from the Classical Linear Regression Models | | | 4 |
Detecting and solving problems in Regression Analyses | | | 5 |
Using EVIEWS successfully in estimating a proper economic and financial model | |
| Assessment |
| Assessment & Grading of In-Term Activities |
Number ofActivities |
Degree of Contribution (%) |
| Mid-Term Exam |
0 |
- |
| Computer Based Presentation |
0 |
- |
| Short Exam |
0 |
- |
| Presentation of Report |
0 |
- |
| Homework Assessment |
0 |
- |
| Oral Exam |
0 |
- |
| Presentation of Thesis |
0 |
- |
| Presentation of Document |
0 |
- |
| Expert Assessment |
0 |
- |
| Board Exam |
0 |
- |
| Practice Exam |
0 |
- |
| Year-End Final Exam |
0 |
- |
| Internship Exam |
0 |
- |
| TOTAL |
0 |
%100 |
|---|
|
| Contribution of In-Term Assessments to Overall Grade |
0 |
%50 |
| Contribution of Final Exam to Overall Grade |
1 |
%50 |
| TOTAL |
1 |
%100 |
| 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 |
0 |
0 |
0 |
| 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 |
| Total Workload for Learning & Teaching Activities |
- |
- |
0 |
| Workload for Assessment Activities |
|---|
| Type of the Assessment Activites |
# of Assessment Activities
|
Duration(hours, h) |
Workload (h) |
| Final Exam |
1 |
0 |
0 |
| Preparation for the Final Exam |
0 |
0 |
0 |
| Mid-Term Exam |
0 |
0 |
0 |
| Preparation for the Mid-Term Exam |
0 |
0 |
0 |
| Short Exam |
0 |
0 |
0 |
| Preparation for the Short Exam |
0 |
0 |
0 |
| Total Workload for Assessment Activities |
- |
- |
0 |
|
|---|
| Total Workload of the Course Unit |
- |
- |
0 |
| Workload (h) / 25.5 |
|
0.0 |
| ECTS Credits allocated for the Course Unit |
|
8.0 |
|
