Past courses

Courses offered by the PhD in Information Engineering in recent past years

2019

Internal Courses – 2019

Provisional schedule. More courses and precise dates will be added later.

  • Laboratorio di comunicazione scientifica (Roberto Livi, Giovanna Pacini, Franco Bagnoli). 4 Credits. Jan-Feb 2019, Florence.
  • Derivative free optimization (Marco Sciandrone). 3 Credits. Jan-Feb 2019, Florence.
  • FPGA SystemOnChip (SoC) for high velocity data processing (Stefano Ricci, Enrico Boni, Francesco Guidi). 4 Credits. Jan 2019, Florence.
  • Adriano Olivetti: l’imprenditore (l’Ingegnere illuminato): innovazione e dignità del lavoro (Antonio Chini). 1 Credits. Jan-Feb 2019, Florence.
  • Network dynamics and multi-agent systems (Giorgio Battistelli). 3 Credits. Jan-Feb 2019, Florence.
  • Electric Energy as a business competitive advantage (Alberto Reatti). 1 Credits. Feb 2019, Florence.
  • Finite elements for engineers (Giuseppe Pelosi, Stefano Selleri). 2 Credits. Feb 2019, Florence.

Courses offered in the second semester, 2019
Courses by invited professors:
Courses offered by the PhD program on Smart Computing – 2019

Provisional schedule. More courses and precise dates will be added later.

  • Applications and methods of stochastic modeling and quantitative evaluation (Enrico Vicario). 3 Credits. January 2019, Florence.
  • Queue networks for performance engineering (Andrea Marin). 3 Credits. February 2019, Florence.
  • Network Calculus for Deterministic Performance Analysis (Giovanni Stea). 3 Credits. May 2019, Pisa.
  • Stochastic Model Checking (Mieke Massink). 3 Credits. May 2019, Pisa.
  • Genetic algorithms for multi-objective optimization (Francesco Pistolesi). 3 Credits. May-June 2019, Pisa.
  • Object Recognition in Images and Video (Andrew Bagdanov). 3 Credits. June 2019, Florence.
  • Machine Learning: A Constrained-Based Approach (Marco Gori). 3 Credits. TBD, Siena.
  • Non-linear manifolds in Computer Vision (Stefano Berretti and Pietro Pala). 3 Credits. June-July 2019, Florence.

More courses are available at the Doctoral School in Information Engineering of UniPI and at the Doctoral School in Information and Communication Technology of UniTN.