Graph Theory Course
This course equips learners with essential graph theory concepts and algorithms to model, analyze, and interpret network structures in real-world applications, from basic connectivity to advanced spectral methods.

from 4 to 360h flexible workload
valid certificate 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 coloring, matchings, planarity, and spectral methods. Through targeted algorithms and thoughtful analysis, you learn to test properties, confirm results, and communicate precise findings effectively.
Elevify advantages
Develop skills
- Network modeling: quickly convert real transport or social systems into accurate graphs.
- Graph algorithms: use BFS, DFS, Dijkstra, and lowlink to examine structure.
- Advanced properties: check planarity, colorings, matchings, and Hamiltonicity.
- Spectral insight: apply adjacency and Laplacian matrices for fast connectivity assessments.
- Rigorous reporting: turn graph metrics into clear, practical 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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