Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
-- SKY651 3 + 0 3.0 10.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Turkish
Course Coordinator Prof. Dr. Mehmet Nurullah KURUTKAN
Instructor(s) Mehmet Nurullah KURUTKAN
Assistants
Goals The aim of this course is to introduce the fundamental concepts and methods of informetrics, teaching techniques used in the measurement and evaluation of scientific communication. It aims to equip students with the ability to perform informetric analyses and to understand current research and applications in this field.
Course Content Course Content: Fundamental principles and historical development of informetrics Bibliometric indicators and citation analysis Scientific communication networks and collaboration maps Webometrics and internet-based measurements Altmetrics and social media analyses Scientific performance evaluation and policies Informetric software and data visualization techniques
Learning Outcomes - Understanding Informetric Concepts: Students will be able to explain the fundamental concepts and historical development of informetrics.
- Applying Bibliometric Indicators: Students will be able to perform quantitative analysis of scientific publications using bibliometric indicators.
- Conducting Citation Analysis: Students will be able to assess scientific impact by employing citation analysis techniques.
- Analyzing Scientific Communication Networks: Students will be able to evaluate collaboration and information flow by analyzing scientific communication networks.
- Utilizing Informetric Software: Students will be able to effectively use software tools designed for informetric analyses.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Introduction and Fundamental Concepts of Informetrics
2. Week Historical Development and Importance of Informetrics
3. Week Bibliometrics and Bibliometric Indicators
4. Week Citation Analysis and Citation Networks
5. Week Scientific Communication Networks and Collaboration Analysis
6. Week Science Mapping and Visualization Techniques
7. Week Informetric Software (VOSviewer, CiteSpace, etc.)
8. Week Webometrics and Internet-Based Measurements
10. Week Altmetrics and Social Media Analyses
11. Week Scientific Performance Evaluation and Policies
12. Week Informetric Research Methodology
13. Week Informetric Data Analysis and Interpretation
14. Week Öğrenci Sunumları ve Vaka Çalışmaları
Recommended Sources
Qiu, J., Zhao, R., Yang, S., & Dong, K. (2017). Informetrics: Theory, Methods and Applications. Springer.
Moed, H. F. (2017). Applied Evaluative Informetrics. Springer.
Daraio, C., & Glänzel, W. (Eds.). (2020). Evaluative Informetrics: The Art of Metrics-Based Research Assessment. Springer
Cronin, B., & Sugimoto, C. R. (Eds.). (2014). Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact. The MIT Press.
Egghe, L., & Rousseau, R. (1990). Introduction to Informetrics: Quantitative Methods in Library, Documentation and Information Science. Elsevier Science Publishers.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 Measurement Method
PY1 4 4 4 4 4 5 60
PY5 4 4 4 4 4 4 60
PY6 4 4 4 4 4 4 60
PY7 4 4 4 4 4 4 60
PY12 4 4 4 4 4 4 60
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 50 50
Homework 1 1 32 32
Homework 2 1 33 33
Final 1 50 50
Practice 2 24 48
Classroom Activities 14 3 42
Total Workload 255
ECTS Credit of the Course 10.0