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Advanced Graph Theory Course

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

What will I learn?

This course equips you with vital tools to examine intricate networks assuredly. You'll calculate structural metrics, centrality measures, and spectral values, utilise community detection, and explore network robustness and diffusion processes. Using actual datasets and repeatable methods, you'll grasp efficient algorithms and precise interpretations for thorough, evidence-based network studies.

Elevify advantages

Develop skills

  • Master centrality: calculate, assess, and explain vital measures swiftly.
  • Apply spectral methods: leverage eigenvalues for connectivity, mixing times, and outbreak analysis.
  • Detect communities: deploy Louvain, SBM, and spectral clustering on genuine data.
  • Model robustness: mimic failures, assaults, and disease spread across networks.
  • Scale analyses: employ graph tools for metrics on massive sparse networks.

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.
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of rich information.
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