Graph Theory Course
This course equips learners with essential graph theory concepts and algorithms for modeling and analyzing networks, covering foundational structures, advanced properties, and practical applications in real-world scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Graph Theory Course gives you practical tools to model real networks as graphs, prepare clean data, and choose appropriate representations. You will analyze structure with degrees, connectivity, paths, cliques, and bridges, then apply advanced topics such as coloring, matchings, planarity, and spectral ideas. Through focused algorithms and careful interpretation, you learn to test properties, validate results, and clearly communicate rigorous findings.
Elevify advantages
Develop skills
- Network modeling: turn real transport or social systems into precise graphs fast.
- Graph algorithms: apply BFS, DFS, Dijkstra, and lowlink to analyze structure.
- Advanced properties: test planarity, colorings, 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
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