Graph Theory Course
This course provides a comprehensive introduction to graph theory, covering modeling, algorithms, advanced properties, spectral methods, and reporting techniques for analyzing network structures.

flexible workload of 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 transform real transport or social systems into precise graphs.
- Graph algorithms: implement BFS, DFS, Dijkstra, and lowlink to analyse structure.
- Advanced properties: examine planarity, colourings, matchings, and Hamiltonicity.
- Spectral insight: apply adjacency and Laplacian matrices for swift connectivity assessments.
- Rigorous reporting: convert 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 workloadWhat our students say
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