Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
-- SKY651 Turkish Compulsory 3 + 0 3.0 10.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Turkish
Course Coordinator Prof. Dr. Mehmet Nurullah KURUTKAN
Instructor(s) Prof. Dr. Mehmet Nurullah KURUTKAN (Güz)
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
# Öğrenme Kazanımı
1 Understanding Informetric Concepts: Students will be able to explain the fundamental concepts and historical development of informetrics.
2 Applying Bibliometric Indicators: Students will be able to perform quantitative analysis of scientific publications using bibliometric indicators.
3 Conducting Citation Analysis: Students will be able to assess scientific impact by employing citation analysis techniques.
4 Analyzing Scientific Communication Networks: Students will be able to evaluate collaboration and information flow by analyzing scientific communication networks.
5 Utilizing Informetric Software: Students will be able to effectively use software tools designed for informetric analyses.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
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
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
5 Ability to evaluate and improve the quality of healthcare services
6 Ability to assess and enhance health outcomes
7 Proficiency in using statistical analysis, reporting, interpretation, and decision-making
12 Ability to monitor and implement developments in health policies
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 4 4 4 4 5
PY5 4 4 4 4 4
PY6 4 4 4 4 4
PY7 4 4 4 4 4
PY12 4 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 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.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
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
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 10.0