| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
| 3 | DSBE597 | MSC SPECIAL TOPICS | 4+0+0 | 4 | 10 | 13.05.2025 |
|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Master's Degree
|
|
Department / Program
|
DATA SCIENCE
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Compulsory
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
Presenting current trends and discussions on academic theses.
Identifying relevant data and data sources.
Introducing theoretical frameworks and methods relevant to research questions.
Developing sections and subsections of theses.
|
|
Course Content
|
The course provides instructions for the prepation of theses. MSc Special Topics
course is followed in accordance with the decision of the Board of Institute.
|
|
Course Methods and Techniques
|
Traditional in class lectures and real life applications and cases will be utilized.
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
Associate Prof.Dr. Umut Türk
|
|
Name of Lecturers
|
None
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
Resources
|
-
|
|
Course Notes
|
Course materials will be provided throughout the semester
|
|
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
|
|
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı
|
2
|
%
25
|
|
Sunum/Seminer
|
2
|
%
75
|
|
Total
|
4
|
%
100
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Seminer
|
1
|
100
|
100
|
|
Ders dışı çalışma
|
1
|
74
|
74
|
|
Öğretici Sunum/Açıklama
|
14
|
5
|
70
|
|
Yüz Yüze Ders
|
14
|
4
|
56
|
|
Total Work Load
| |
|
Number of ECTS Credits 10
300
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Construct a systematic literature review on their research topics. |
|
2
| Araştırma sorusunu tanımlamak. |
|
3
| Identify gaps in the literature. |
|
4
| Collect data from various sources. |
|
5
| Conduct analysis. |
|
6
| Interpret results based on related literature and theory. |
Weekly Detailed Course Contents
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=71582&lang=en