Study Plan and Courses 2022-2023

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 
2)(f) ) of the 14th Dec 2021 Ministerial Decree n. 226 ("Regulations concerning ... criteria for the creation of PhD Programmes by registered institutions”).

 

For the Academic Year 2022/2023, the following SPECIALIZED COURSES of Computer Science are offered:

 

Big Data, Data mining, machine learning   (32 hours)

Human-Centered AI (HCAI): an innovative vision for designing intelligent systems (24 hours)

Software Solutions for Reproducible Experiments (16 hours)

Emotion recognition using non-invasive biometrics (16 hours)

Deep Learning for Content Representation in Recommender Systems (24 hours)

Natural Language Processing for Information Extraction (24 hours)

Advanced AI for predictive tasks (24 hours)

 

For the Academic Year 2022/2023, the following SPECIALIZED COURSES of Mathematics are offered:

 

Joint numerical and spectral radii for tuples of operators – a non-commutative probability  (16 hours)

Fourier analysis and its applications  (16 hours)

Control of Degenerate and Singular Parabolic Equations (16 hours)

Prescribed curvature problems and Liouville equations  (16 hours)

Geometric structures on varieties (16 hours)

Large Deviation Theory and Applications  (16 hours)

An Introduction to the Virtual Element Method with focus on the Navier-Stokes Equation  (16 hours)

Polynomial identities and interactions with quantum groups (24 hours)

Theories and research methods in STEM education (32 hours)

Random matrix theory  (32 hours)