TR EN

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 Literature Review Calculating and Visualizing Coefficient and Efficiency Measures with Python Lecture, Discussion, Application
8 Literature Review Network Models Lecture, Discussion, Application
9 Literature Review Creating Different Network Models with Python Lecture, Discussion, Application
10 - MID-TERM EXAM -
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 -