PhD Programme in Computer Science and Mathematics

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Study plan

The study plan includes:

1. INDIVIDUAL RESEARCH, guided by at least one Tutor, which culminates with the defense of an original PhD dissertation. The Doctorate Committee appoints one Tutor for each student. In some cases, a second Tutor may be appointed. Students will have daily contact with the research group within which they are placed. In addition, they should expect a formal meeting with their Tutor(s) at least once a month.
All research students will present their research regularly throughout their studies in seminars, annual reviews, summer schools, and research conferences both in Italy and abroad. Students will get some funding to attend conferences and workshops.

2. BASIC COURSES (5 credits), a common core for all the PhD students, whose aim is to study in depth the paradigms (theoretical, experimental, etc.) used in the Mathematics and Computer Science disciplines for knowledge progress.

  • Project Management (3 credits), Dr. Danilo Caivano.
  • History of Computer Science and Artificial Intelligence (2 credits), Prof. Rudolf Seising.

3. SPECIALIZED COURSES (35 credits), which may also include international summer schools of interest for the individual research.

4. SEMINARS on topics related to advanced information technology as well as to scientific research writing, research programs, knowledge sharing with industry, copyright and patents. Such seminars are part of the student education, as required in 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 accademic year 2017/2018, the following COURSES FOR MATHEMATICS CURRICULUM are offered:

  • Elements of Calculus of Variations with Applications to the Study of Geodesics (4 credits); Teacher Prof. Anna Maria Candela.
  • Dissipative hyperbolic equations (2 credits); Teacher Prof. Marcello D’Abbicco.
  • Evolution Problems (5 credits), Prof.Silvia Romanelli and Prof. Jerome A. Goldstein.
  • Techniques of optimal control for nonlinear diffusion equations and applications (2 credits), Prof. Gabriela Marinoschi.
  • Differential equations of fractional order (3 credits), Prof. Roberto Garrappa.
  • Eigenvalues, computation of canonical forms and applications (4 credits), Dr. Nicola Mastronardi.


For the accademic year 2017/2018, the following COURSES FOR COMPUTER SCIENCE CURRICULUM are offered:

  • Mining Real-time Data Streams (4 credits), Prof. Herna Lydia Viktor and Prof. Donato Malerba.
  • Empirical Methods and Data Analysis (3 credits), Prof. Fabio Q. B. Da Silva and Dr. Teresa Baldassarre.
  • Machine Learning and Semantic Web (3 credits), Dr. Claudia d’Amato and Prof. Nicola Fanizzi.
  • Mining Socio-Technical Repositories (3 credits), Dr. Fabio Calefato.
  • IoT Technologies and Tools for Configuring Smart Environments (2 CFU), Dr.Carmelo Ardito and Dr. Giuseppe Desolda. 
  • Multi-relational Data Mining (3 credits), Dr. Gianvito Pio and Dr. Corrado Loglisci.
  • Information Filtering and Personalization (3 credits), Dr. Fidelucio Narducci and Dr. Cataldo Musto.
  • Semantics in Natural Language Processing (2 credits), Dr. Pierpaolo Basile.
Most courses will be given during the year 2018. Only two courses are given during November and December 2017; to see their schedule click here.

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