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NETWORK ANALYSIS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS410 NETWORK ANALYSIS 8 3 3 8

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature Review Introduction to Network Science, Graph Basics Lecture, Discussion, Application
2 Literature Review Creating Networks with Python (NetworkX Library) Lecture, Discussion, Application
3 Literature Review Visualizing a Network Created with Python (Matplotlib Library) Lecture, Discussion, Application
4 Literature Review Network Metrics Lecture, Discussion, Application
5 Literature Review Calculating Centrality Measures with Python Lecture, Discussion, Application
6 Literature Review Visualizing Centrality Measures with Python Lecture, Discussion, Application
7 - MID-TERM EXAM -
8 Literature Review Calculating and Visualizing Coefficient and Efficiency Measures with Python Lecture, Discussion, Application
9 Literature Review Network Models Lecture, Discussion, Application
10 Literature Review Creating Different Network Models with Python Lecture, Discussion, Application
11 Literature Review Network Datasets Lecture, Discussion, Application
12 Literature Review Processing Datasets with Python (Pandas Library) Lecture, Discussion, Application
13 Literature Review Community Analysis and In-Depth Analysis Lecture, Discussion, Application
14 Literature Review Community Analysis and In-Depth Analysis with Python Lecture, Discussion, Application
15 Literature Review General Review Lecture, Discussion, Application
16 - FINAL EXAM -
17 - FINAL EXAM -