Graph Theory Course
This course provides hands-on skills in graph theory for modeling and analyzing networks, covering algorithms, properties, and spectral methods to derive actionable insights.

flexible workload from 4 to 360h
valid certificate 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 structure using degrees, connectivity, paths, cliques, and bridges, then explore advanced topics like colouring, matchings, planarity, and spectral concepts. Through targeted algorithms and thoughtful interpretation, you learn to test properties, validate results, and communicate rigorous findings clearly.
Elevify advantages
Develop skills
- Network modelling: quickly turn real transport or social systems into precise graphs.
- Graph algorithms: apply BFS, DFS, Dijkstra, and lowlink to analyse structure.
- Advanced properties: test planarity, colourings, matchings, and Hamiltonicity.
- Spectral insight: use adjacency and Laplacian matrices for quick connectivity checks.
- Rigorous reporting: translate graph metrics into clear, domain-ready conclusions.
Suggested summary
Before starting, you can change the chapters and 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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