| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
Economics
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Elective
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
This course aims to teach econometric methods through practical applications on real datasets. Students will learn essential techniques for analyzing economic data and develop the ability to apply these methods independently.
|
|
Course Content
|
Econometric modeling
• Regression analysis and estimation
• Use of econometric software
• Time series analysis
• Panel data analysis
• Hypothesis testing and interpretation of results
|
|
Course Methods and Techniques
|
Lectures
Lab sessions
Case studies
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
Sekreter Turgay Bozan turgay.bozan@hku.edu.tr
|
|
Name of Lecturers
|
None
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
Resources
|
Uygulamalı Ekonometri
|
|
Course Notes
|
70% attendance is mandatory.
|
|
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Total
|
2
|
%
100
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Total Work Load
| |
|
Number of ECTS Credits 3
90
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant