COURSE INFORMATION PACKAGE · VM 524
Graph Theory
Compulsory · English
Content
Objective
This course introduces the fundamental principles of graph theory and explores its applications in data science. Students will learn how to represent, analyze, and manipulate various types of graphs to solve real-world problems in data analysis, network science, and machine learning.
Course Content
Fundamental Graph Theory Concepts: Paths and cycles, connectivity, trees, spanning subgraphs, bipartite graphs, Hamiltonian and Euler cycles.
Graph Algorithms.
Network Analysis.
GCN (Graph Convolutional Networks).
Data Science Applications.
Weekly Contents
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to Graphs |
| 2 | Graph Algorithms |
| 3 | Graph Properties and Metrics |
| 4 | Graph Visualization |
| 5 | Social Network Analysis |
| 6 | Recommender Systems |
| 7 | Midterm |
| 8 | Graphs in Machine Learning |
| 9 | Graphs in Machine Learning |
| 10 | Web and Text Mining |
| 11 | Advanced Topics |
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