1 | Course Title: | ORGANIZATIONAL NETWORK ANALYSIS |
2 | Course Code: | EKO4214 |
3 | Type of Course: | Optional |
4 | Level of Course: | First Cycle |
5 | Year of Study: | 4 |
6 | Semester: | 8 |
7 | ECTS Credits Allocated: | 5 |
8 | Theoretical (hour/week): | 3 |
9 | Practice (hour/week) : | 0 |
10 | Laboratory (hour/week) : | 0 |
11 | Prerequisites: | None |
12 | Recommended optional programme components: | None |
13 | Language: | Turkish |
14 | Mode of Delivery: | Face to face |
15 | Course Coordinator: | Doç. Dr. SELİM TÜZÜNTÜRK |
16 | Course Lecturers: | |
17 | Contactinformation of the Course Coordinator: |
Doç. Dr. Üyesi Selim TÜZÜNTÜRK E-posta : selimtuzunturk@uludag.edu.tr Telefon: 0 224 29 41152 Adres: Bursa Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa. |
18 | Website: | |
19 | Objective of the Course: | The aim of the course is to inform how to perform an Organizational Network Analysis step by step, how to analyze and interpret network data by using package programs. |
20 | Contribution of the Course to Professional Development | The course gives students the ability to bring analytical solutions to problems in the organizational field. |
21 | Learning Outcomes: |
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22 | Course Content: |
Week | Theoretical | Practical |
1 | Organization, Formal Chart and Informal Chart | |
2 | Analysis of Informal Networks, Network forms of Organizations and definitions of Organizational Network Analysis. | |
3 | Organizational Networks and types. Brief History and Sample Applications | |
4 | Network Science | |
5 | Social Networks, Social Network Analysis and its applications on social sciences. | |
6 | Steps of Organizational Network Analysis. | |
7 | Network variable, data types, various data gathering methods, important topics in organizational network analysis and preparation of their questionnaire forms. | |
8 | Data gathering and ethical issues. | |
9 | Introduction to social network analysis package programs, data entry and arranging data files. | |
10 | Basic visual analysis methods and their computer applications. | |
11 | Basic numerical analysis methods. | |
12 | Computer applications of basic numerical analysis methods. | |
13 | Organizational Network Analysis applications with package programs. | |
14 | Organizational Network Analysis applications with package programs. |
23 | Textbooks, References and/or Other Materials: |
1. Selim TÜZÜNTÜRK, Organizasyonel Ağ Analizi, Dora Kitabevi, 2. Basım, Bursa, 2022. 2. Selim TÜZÜNTÜRK, Ağ Bilimi, Dora Kitabevi, 3. Basım, Bursa, 2022. 3. Selim TÜZÜNTÜRK, Sosyal Bilimlerde Pajek Uygulamalı Yapısal Analiz, Aktüel 16, Bursa, 2018. 4. Necmi GÜRSAKAL, Sosyal Ağ Analizi: Pajek, Ucinet ve Gmine Uygulamalı, Dora, Bursa, 2009. 5. Gürsakal, N., Aydın, Z. B., Gürsakal, S. ve Tüzüntürk, S., “Ağ Bilimi ve İstatistik”, 9. Ulusal Ekonometri ve İstatistik Sempozyumu, Dokuz Eylül Üniversitesi, İzmir, Kuaşadası, 28-30 Mayıs 2008. 6. BARABÁSI Albert László, Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life, Penguin Group, New York, 2003. 7. CROSS Rob – Andrew PARKER, The Hidden Power of Social Networks: Understanding How Really Gets Done in Organizations, Harvard Business School Press, Boston, 2004. 8. ANKLAM Patti, Net Work A Practical Guide to Creating and Sustaining Networks at Work and in the World, Butterworth-Heinemann Publisher, Burlington, USA, 2007. 9. BORGATTI S. P. – José Luis MOLINA, “Ethical and Strategical Issues in Organizational Social Network Analysis”, The Journal of Applied Behavioral Science, Vol. 39, No. 3, 2003, pp. 337–349. |
24 | Assesment |
TERM LEARNING ACTIVITIES | NUMBER | PERCENT |
Midterm Exam | 1 | 40 |
Quiz | 0 | 0 |
Homeworks, Performances | 0 | 0 |
Final Exam | 1 | 60 |
Total | 2 | 100 |
Contribution of Term (Year) Learning Activities to Success Grade | 40 | |
Contribution of Final Exam to Success Grade | 60 | |
Total | 100 | |
Measurement and Evaluation Techniques Used in the Course | Test exams are held in midterm and final exams. | |
Information | This course is evaluated with a relative evaluation system. |
25 | ECTS / WORK LOAD TABLE |
Activites | NUMBER | TIME [Hour] | Total WorkLoad [Hour] |
Theoretical | 14 | 3 | 42 |
Practicals/Labs | 0 | 0 | 0 |
Self Study and Preparation | 14 | 2 | 28 |
Homeworks, Performances | 0 | 0 | 0 |
Projects | 0 | 0 | 0 |
Field Studies | 0 | 0 | 0 |
Midtermexams | 1 | 30 | 30 |
Others | 1 | 20 | 20 |
Final Exams | 1 | 30 | 30 |
Total WorkLoad | 150 | ||
Total workload/ 30 hr | 5 | ||
ECTS Credit of the Course | 5 |
26 | CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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LO: Learning Objectives | PQ: Program Qualifications |
Contribution Level: | 1 Very Low | 2 Low | 3 Medium | 4 High | 5 Very High |