77 Languages
Logo

Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages
🎓
CREATE AN EVENT

Graph Algorithms and Applications
( 24 Modules )

Module #1
Introduction to Graph Theory
Defining graphs, types of graphs, graph representation, and basic graph terminology
Module #2
Graph Traversal Algorithms
Breadth-First Search (BFS) and Depth-First Search (DFS) algorithms, implementation, and applications
Module #3
Shortest Paths Algorithms
Dijkstras algorithm, Bellman-Ford algorithm, and Floyd-Warshall algorithm for finding shortest paths in weighted graphs
Module #4
Minimum Spanning Tree Algorithms
Kruskals algorithm and Prims algorithm for finding minimum spanning trees in weighted graphs
Module #5
Topological Sort and Strongly Connected Components
Topological sort algorithm and strongly connected components in directed graphs
Module #6
Graph Connectivity and Biconnectivity
Algorithms for finding connected components, biconnected components, and articulation points in graphs
Module #7
Network Flow Algorithms
Ford-Fulkerson algorithm, Edmonds-Karp algorithm, and Dinics algorithm for solving maximum flow problems
Module #8
Matching Algorithms
Bipartite matching, Hopcroft-Karp algorithm, and stable marriage problem
Module #9
Graph Coloring and Independent Sets
Graph coloring algorithms, chromatic number, and independent sets in graphs
Module #10
Clique and Cluster Detection
Algorithms for finding cliques, clusters, and community structure in graphs
Module #11
Graph Isomorphism and Automorphism
Algorithms for testing graph isomorphism and automorphism
Module #12
Random Graph Models
Erdős-Rényi model, small-world networks, and preferential attachment models
Module #13
Graph Visualization and Drawing
Algorithms and techniques for visualizing and drawing graphs
Module #14
Social Network Analysis
Centrality measures, community detection, and epidemic spread in social networks
Module #15
Web Graph Analysis
Structural properties of the web graph, PageRank, and web crawling
Module #16
Recommendation Systems
Collaborative filtering, content-based filtering, and graph-based recommendation systems
Module #17
Biological Network Analysis
Protein-protein interaction networks, gene expression networks, and biological network analysis
Module #18
Traffic Network Analysis
Traffic flow, traffic assignment, and traffic network optimization
Module #19
Scheduling and Resource Allocation
Graph-based scheduling algorithms and resource allocation problems
Module #20
Computational Complexity of Graph Algorithms
NP-completeness, hardness of approximation, and efficient algorithms for graph problems
Module #21
Approximation Algorithms for Graph Problems
Approximation algorithms for NP-hard graph problems, such as vertex cover and traveling salesman
Module #22
Online and Dynamic Graph Algorithms
Algorithms for dynamic graphs, online algorithms, and streaming graph algorithms
Module #23
Distributed Graph Algorithms
Algorithms for distributed graph processing, parallel algorithms, and distributed graph systems
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Graph Algorithms and Applications career


Ready to Learn, Share, and Compete?

Language Learning Assistant
with Voice Support

Hello! Ready to begin? Let's test your microphone.
Copyright 2025 @ WIZAPE.com
All Rights Reserved
CONTACT-USPRIVACY POLICY