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Advanced Graph Theory Course

Advanced Graph Theory Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

Gain hands-on skills in advanced graph theory to confidently tackle complex networks. Master computing structural metrics, centrality, and spectral properties; perform community detection; and explore network robustness and spreading phenomena. Utilise real datasets and reproducible methods to implement efficient algorithms and interpret results for data-driven analysis.

Elevify advantages

Develop skills

  • Master centrality measures: compute, compare, and interpret them quickly.
  • Use spectral tools: apply eigenvalues for connectivity, mixing, and epidemic analysis.
  • Apply community detection: use Louvain, SBM, and spectral clustering on real data.
  • Model network robustness: simulate failures, attacks, and disease spread.
  • Perform scalable analysis: leverage graph libraries for large sparse networks.

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.
Workload: between 4 and 360 hours

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