Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • TR
About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Vocational School of Information Technologies
  2. Department of Statistics
  3. Program in Big Data Analyst
  4. Course Structure Diagram with Credits
  5. Social Network Analysis
  6. Learning Outcomes & Program Qualifications
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 23/06/2026
0 : Does not support   1 : Low-level support   2 : Mid-level support   3 : Top level support
Learning Outcomes Program Qualifications
PY1 PY2 PY3 PY4 PY5 PY6 PY7 PY8 PY9 PY10 PY11 PY12 PY13 PY14 PY15
LO-1 Upon successful completion of this course, students will be able to perform data collection, sampling, and centrality measurements using advanced social network analysis techniques, clearly model complex datasets with network visualization tools, conduct statistical network analyses using Exponential Random Graph Models (ERGM) and actor-oriented models, test community detection, information diffusion, and network robustness scenarios on longitudinal and multilevel network structures, and develop comprehensive projects on real-world case studies while observing data privacy and network ethics standards when designing network-based machine learning applications (e.g., link prediction). - - - - - - - - - - - - - - -

Info on the Institution

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Info on Degree Programmes

  • Doctorate Degree / Proficieny in Arts
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Info for Students

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