Study Plan and Courses 2021-2022

For the PhD students of the cycle XXXVII, the study plan includes:

1. INDIVIDUAL RESEARCH, guided by at least one Tutor, which culminates with the defense of an original PhD dissertation. The Academic Board appoints one Tutor for each student. In some cases, more Tutors may be appointed. Students will have daily contact with the research group to which they belong. They should expect a formal meeting with their Tutor(s) at least once a month.
All PhD students will present their research regularly throughout their three years of the programme in seminars, annual reviews, summer schools, and scientific meetings both in Italy and abroad. Students will get some funding to attend scientific schools, conferences and workshops.

2. SPECIALIZED COURSES, of 1, 2 or 3 credits, for a total of 15 credits to be acquired in the first two years (each credit corresponds to either 8 hours of lectures or 15 hour of practice). The student chooses the courses of interest to be attended on each one of the first two years; four of such courses, for at least a total of 8 credits, require a final exam to be given by the end of the second year of the PhD Programme. By the end of the first year, the student has to pass at least two exams. The specialized courses may also include international schools of interest for the individual research.

3. SEMINARS on various topics, to be attended during the three years of the PhD Programme, for at least 40 hours: a) 10 hours on topics
related to advanced information technology; b) 10 hours on scientific research writing; c) 20 hours on topics related to research programs,
knowledge sharing with industry, copyright and patents. Such seminars are part of the student education, as required by article 4, section 1
(f) ) of the 8th Feb 2013 Ministerial Decree n. 45 ("Regulations concerning ... criteria for the creation of PhD Programmes by registered institutions”).

 

For the Academic Year 2021/2022, the following SPECIALIZED COURSES of Computer Science are offered:

• Advanced Machine Learning Techniques for cyber defence
  (3 CFU, 24 hours, course period Jun 2022), Teachers: Dr. Giuseppina Andresini, Prof. Annalisa Appice
   (scheduled lessons on the chart below)
• Automatic Multistrategy Reasoning
  (3 CFU, 24 hours, course period Feb-Mar 2022), Teachers: Prof. Stefano Ferilli, Dr. Domenico Redavid
  (scheduled lessons on the chart below)
• Co-Design of ML-mediated Crowd Sensing Experiences for the Citizen Science
  (2 CFU, 16 hours, course period Mar-Apr 2022), Teacher Dr. Marco Zappatore
  (scheduled lessons on the chart below)
• Deep Learning for Natural Language Processing
  (3 CFU, 24 hours, course period Feb-Mar 2022), Teachers: Dr. Marco Polignano, Dr. Pierpaolo Basile
  (scheduled lessons on the chart below)
• Explainable Artificial Intelligence
  (2 CFU, 23 hours, course period May-Jun 2022), Teacher: Prof. Corrado Mencar
  (scheduled lessons on the chart below)
• Formal Methods for Socio-Technical Security
  (2 CFU, 16 hours, course period Jun-Jul 2022), Teacher: Prof. Luca Viganò
  (scheduled lessons on the chart below)
• Linked Data
  (3 CFU, 31 hours, course period Apr-May 2022), Teacher: Dr. Miguel Ceriani
  (scheduled lessons on the chart below)
• Human-Centred Computing: Interaction and Cooperation in Ubiquitous Environments
  (3 CFU, 24 hours, course period Oct 2022), Teacher: Prof. Tom Gross
  (scheduled lessons on the chart below)
• Practicing the User-Centred Design Sprint
  (3 CFU, 31 hours, course period Apr-May 2022), Teacher: Prof. Marta Larusdottir
  (scheduled lessons on the chart below)
• Predictive Analysis of Evolving Large-Scale Data
  (2 CFU, 16 hours, course period July 2022), Teacher: Prof. Roberto Corizzo
  (scheduled lessons on the chart below)
• Process Mining
  (2 CFU, 16 hours, course period May 2022), Teacher: Dr. Pasquale Ardimento
  (scheduled lessons on the chart below)
• Transfer Learning
  (2 CFU, 16 hours, course period Mar-Apr-Mar 2022), Teacher: Dr. Paolo Mignone
  (scheduled lessons on the chart below)

For the Academic Year 2021/2022, the following SPECIALIZED COURSES of Mathematics are offered:

• Control of Degenerate and Singular Parabolic Equations
  (2 CFU, 16 hours, course period Feb-Mar-2022), Teacher: Prof. Genni Fragnelli
  (scheduled lessons on the chart below)
• Joint numerical and spectral radii for tuples of operators – a non-commutative probability approach 
  (2 CFU, 16 hours, course period Nov-Dec 2022), Teacher: Prof. Janusz Wysoczanski
  (scheduled lessons on the chart below)
• Large Deviation Theory and Applications 
  (2 CFU, 16 hours, course period Mar 2022), Teacher: Prof. Marco Zamparo
  (scheduled lessons on the chart below)
• Mathematics of Swarm Intelligence
  (2 CFU, 23 hours, course period May-Jun 2022), Teacher: Dr. Antonella Falini
  (scheduled lessons on the chart below)Fourier analysis and its applications:
• fist part: Oscillatory Fourier Integrals and evolution PDE 
  (1 CFU, 8 hours, course period December  2022), Teacher: Prof. Marcelo Ebert
  (scheduled lessons on the chart below)
  second part:  (1 CFU, 8 hours, course period second part: Jan 2022), Teacher:   Alessandro Palmieri 
  (scheduled lessons on the chart below)
• Random Matrices
  (3 CFU, 24 hours, course period Mar-May 2022), Teacher: Dr. Fabio Deelan Cunden
  (scheduled lessons on the chart below)

 

More info about courses and seminars are available here.