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
- Input-to-State Stability (David Angeli). 1 Credits. Jul 2019, Florence.
- Introduction to agent-based modeling with NetLogo (Franco Bagnoli). 2,5 Credits. Jul 2019, Florence.
- Introduction to Matlab (Giulio Bartoli), June 2019
- Introduction to Generative Adversarial Networks (Marco Bertini, Lorenzo Seidenari). 3 Credits. Jun-Jul-Sept 2019, Florence.
- Quantification of measurement uncertainty: basics, applications, trends (Carlo Carobbi). 1 Credits. Jun 2019, Florence.
- Vehicular Networking: Applications, Architectures and Challenges (Francesco Chiti). 1 Credits. Summer 2019, Florence.
- Computational Genomics (Alberto Magi)
- Introduction to visible light communications (Lorenzo Mucchi, Jacopo Catani, Francesco Cataliotti). 2 Credits. Jun 2019, Florence.
- Pedestrian Dead Reckoning Positioning Systems (Simone Morosi, Alessio Martinelli) . 2 Credits. Jun 2019, Florence.
Courses by invited professors:
- Hardware security for Internet of Things (E. Tlelo Cuautle), May 8, 4 hours, 1 CFU
- Multi-objective optimization of integrated circuits and systems (E. Tlelo Cuautle), May 15, 4 hours, 1 CFU
Selection of Materials and Processes for High Reliability Assemblies (prof. Barrie Dunn, Portsmouth University), 1 Credits
Modern convex optimization: Duality, Algorithms, Solutions and Interpretations (prof. Tamas Terlaky, Lheigh University). 3 Credits
- Industrial and Medical Applications of Microbubbles (prof. Mark Border, University of Colorado, Bolder), June 5-6, 2019, 6 hours, 1.5 CFU
- Phenomenology and stochastic modelling of dispersive processes: the Continuous Time Random Walk framework (Pietro De Anna, Losanna), 8 hours, 2 CFU
- Integrating design and control for robotics/mechatronics applications (Paolo Paoletti, Univ. Liverpool), July 2019
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.