Delivered study plan academic year 2019/2020

A.Y. 2020/21



During A.Y. 2020/21, the following PhD courses have been given:

Roberto Capobianco. Advanced Topics in Reinforcement Learning: From Theory to Practice
Thomas Ciarfuglia & Christian Napoli. Vision and Perception in Human-Robot Interaction
Daniele Cono D'Elia & Giuseppe Di Luna. Thinking outside the box: adversarial behavior and unconventional attack vectors from security research
Marco Console. Incomplete Data - Theory in Practice
Emilio Coppa. Advanced techniques for finding bugs in real-world software
Christian Napoli. High performances computing
Marco Angelini. Progressive Data Analysis and Visualization


A.Y. 2019/20



During A.Y. 2019/20, in addition to the planned courses, the following PhD courses are scheduled (these can be attended also by other students):


  • Smart Environments: Technologies, state of the art and research challenges (20 hrs, 17-27 March, 2020, Ioannis Chatzigiannakis and Francesco Leotta, Sapienza)
  • Advances in High Performance Computing (15 hrs., 5-19/10/2020, Christian Napoli, Sapienza) web site
  • Visual Perception in HRI (15 hrs, 16-30/10/2020, Christian Napoli, Sapienza) - web site


Courses postponed to A.Y. 2020/21 due to the Covid-19 outbreak.

- Task-based Human-Robot Interaction (20hrs, Mary Ellen Foster, University of Glasgow, UK and Ron Petrick, Heriot-Watt University, UK)

A.A. 2018/19



During A.Y. 2018/19, in addition to the planned courses, the following PhD courses were taught (these can be attended also by other students):

- Achieving Business Process Intelligence through Process Mining (Fabrizio M. Maggi, Tartu University, Estonia)
- Technical-scientific writing (E. Matricciani, Politecnico di Milano)

A Summer School on Hot Topics in Cyber Security was organized in the period July 1st - 5th 2019 at DIAG - Sapienza

The following courses of the PhD in Data Science were attended by students of the PhD in Engineering in Computer Science:

- Algorithmic bias, fairness, and ethics of Machine Learning systems (12 ore, Francesco Bonchi, ISI & Eurecat, Carlos Castillo, UPF, Chris Schwiegelshohn (Sapienza)).
- Distributed Models, Mapreduce and Large Scale Algorithms (Silvio Lattanzi, Google Research)
- Algorithms and computational models for large-scale data analysis (Silvio Lattanzi, Google Research)

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