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  1 - Introduction to Graph Theory and Python for Graphs

   2 -Types of Graphs (Directed, Undirected, Weighted).mp4

   4 -Working with NetworkX for Graph Creation.mp4

  10 - End-of-course Projects

   2 -Advanced Network Flow Optimization.mp4

  2 - Social Network Representation (project1)

   2 -Adding Nodes and Edges.mp4

   4 -Analysis of Basic Graph Properties (Degree, Path Length).mp4

  3 - Graph Traversal Algorithms

   2 -Breadth-First Search (BFS).mp4

   4 -Application Graph Exploration.mp4

  4 - Shortest Path in a City Map (project 2)

   2 -Implementing Dijkstra’s Algorithm to Find Shortest Paths.mp4

   4 -Analyzing the Performance of the Algorithm.mp4

  5 - Graph Search and Connectivity

   2 -Articulation Points and Bridges.mp4

   4 -Real-World Application Network Resilience.mp4

  6 - Minimum Spanning Tree (MST) Algorithms

   2 -Prim’s Algorithm.mp4

   4 -Implementing MST Algorithms in Python.mp4

  7 - Designing an Optimal Network (project3)

   2 -Applying MST Algorithms (Prim’s and Kruskal’s).mp4

   4 -Cost Analysis and Efficiency.mp4

  8 - Graph Algorithms for Social Networks

   2 -Community Detection Algorithms.mp4

   4 -Graph-Based Applications in Social Media.mp4

  9 - Graph Algorithms in Real-World Applications

   2 -Graphs in Biology.mp4

   4 -Graphs in Search Engines.mp4