Graph Theory Course
This course equips learners with foundational and advanced graph theory techniques to model, analyze, and interpret network structures in real-world applications, emphasizing practical algorithms and rigorous analysis.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Graph Theory Course provides 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: convert real transport or social systems into precise graphs quickly.
- Graph algorithms: use BFS, DFS, Dijkstra, and lowlink to analyse structure.
- Advanced properties: test planarity, colourings, matchings, and Hamiltonicity.
- Spectral insight: apply adjacency and Laplacian matrices for fast connectivity checks.
- Rigorous reporting: turn 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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