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Programme of Course "Networks"

Code:

DT0341

Type of course unit:

Master Degree in Applied Data Science curriculum Data for Smart City: Compulsory
Master Degree in Applied Data Science curriculum Data for Life Science: Compulsory

Level of course unit:

Postgraduate Degrees

Semester:

2nd semester

Number of credits:

Master Degree in Applied Data Science: 6 (workload 150 hours)

Teachers:

Giovanni Stilo (giovannidotstiloatunivaqdotit)

2. Course Contents and learning outcomes (Dublin Descriptors)

Topics of the course include:

  • Fundamentals of graph theory.
  • Optimization problems on graphs.
  • Greedy algorithms on graphs.
  • Trees, paths and matching.
  • Coloring and clustering.
  • Networks and communities: algorithms and metrics.

4. Teaching methods and language

Language:English[info]

Course information last updated on: 25 febbraio 2019, 17:46