Graph Theory Course
This course provides a comprehensive introduction to graph theory, covering modeling, algorithms, properties, and applications for analyzing networks.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Graph Theory Course equips you with practical tools to model real networks as graphs, prepare clean data, and select suitable representations. You will examine structures using degrees, connectivity, paths, cliques, and bridges, then explore advanced topics like colouring, matchings, planarity, and spectral concepts. Through targeted algorithms and precise interpretation, you learn to test properties, validate outcomes, and communicate rigorous findings clearly.
Elevify Advantages
Develop Skills
- Network modelling: convert real transport or social systems into precise graphs quickly.
- Graph algorithms: implement BFS, DFS, Dijkstra, and lowlink to analyse structure.
- Advanced properties: evaluate planarity, colourings, matchings, and Hamiltonicity.
- Spectral insight: apply adjacency and Laplacian matrices for swift connectivity assessments.
- Rigorous reporting: transform graph metrics into clear, domain-applicable conclusions.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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