Graph Theory Course
This course builds strong expertise in graph theory for analysing real networks such as transport, social, and communication systems. Learners will model complex systems as graphs, examine connectivity, paths, matchings, and colourings, apply algorithms like BFS, DFS, and Dijkstra to test properties, and derive reliable solutions for mathematical and practical challenges with clear reporting.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain practical skills to model real-world networks using graphs, clean and prepare data effectively, and select optimal graph representations. Analyse graph structures through degrees, connectivity, paths, cliques, and bridges. Explore advanced concepts like graph colouring, matchings, planarity testing, and spectral graph theory. Master key algorithms and interpretation techniques to verify graph properties, validate outcomes, and present precise findings confidently.
Elevify advantages
Develop skills
- Network modelling: Convert transport or social networks into accurate graphs quickly.
- Graph algorithms: Implement BFS, DFS, Dijkstra, and lowlink for structural analysis.
- Advanced properties: Evaluate planarity, colourings, matchings, and Hamiltonicity.
- Spectral methods: Apply adjacency and Laplacian matrices for connectivity analysis.
- Rigorous reporting: Convert graph insights into clear, actionable 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
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course