Course Title Course Code Program Level
SOCIAL ENGINEERING AND SOCIAL NETWORK ANALYSIS MYG244 Informatics Security Technology Associate Degree

Course Term
(Course Semester)
Teaching and Learning Methods
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
42 30 53 125 3 5

Teaching Staff
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Recommended Optional Programme Component
Course Objectives With this course, the student will learn social engineering techniques, foresee cyber threats and attacks that may come from social engineering world, develop countermeasures, learn social network analysis techniques and methods, gain theoretical and practical knowledge in order to determine vulnerability of the network and to take security-enhancing measures.
Course Content With this course, the student; recognize the world and methods of social engineering, which is a discipline based on weaknesses; will have knowledge on developing measures against social engineering; will be able to handle the network structure from the perspective of social networks; will be able to calculate analysis metrics on the network and visualize and interpret the analysis results using Gephi software.
Learning Outcomes (LO) • To be able to prevent social engineering initiatives by determining the areas of weakness. • To be able to increase the awareness of the personnel in the institution where they will work in business life. • Modeling the data of a social network with the Graph data structure. • To be able to calculate the centrality metrics of the network and interpret the results. • To be able to visualize and analyze networks using Gephi and NodeXL software and interpret their results. • To be able to identify communities in the network.
Mode of Delivery Distance Learning
Course Outline
Week Topics
1. Week Introduction to Social Engineering and Social Network Analysis
2. Week Social Engineering Basics
3. Week Social Engineering Techniques and Methods
4. Week Information Gathering Techniques
5. Week Social Networks Basics
6. Week Network Structures Fundamentals
7. Week Network Types
8. Week Mid-Term Exam
9. Week Network Analysis – Whole Network Metrics
10. Week Network Analysis – Node Metrics
11. Week Community Detection in Social Networks
12. Week Gephi Tool (Constructing, Visualizing and Analyzing Social Networks)
13. Week Gephi Tool (Constructing, Visualizing and Analyzing Social Networks)
14. Week NodeXL Tool (Constructing, Visualizing and Analyzing Social Networks)
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%) 20 (Final'e İlave)
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References 1. “Kullanıcı Güvenliği Eğitimi”, TÜBİTAK BİLGEM Siber Güvenlik Enstitüsü 2. “Sosyal Mühendisin Maskesini Düşürmek”, Christopher Hadnagy. 3. “Sosyal Mühendislik Saldırıları”, Okan Yıldız, Alper Başaran. 4. “Sosyal Ağ Analizi”, Prof.Dr. Necmi GÜRSAKAL. 5. Ders sunuları ve notları
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)
ÖÇ1 25 3 5155
ÖÇ2 55 3 3355
ÖÇ35 542 5 2 
ÖÇ4 55554  1 
ÖÇ54 435 42  
ÖÇ65 555455 1