PhD Programme in Computer Science and Mathematics

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Study Plan and Courses 2017-2018

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. Basic courses require a final exam to be given by the end of the second year of the Doctorate Programme.

  • Project Management (3 credits), Dr. Danilo Caivano.
  • Empirical Methods and Data Analysis (3 credits), Prof. Fabio Q. B. Da Silva (2 credits, mandatory) and Dr. Teresa Baldassarre (1 credit, optional).

3. SPECIALIZED COURSES (35 credits), which may also include international summer schools of interest for the individual research. The student chooses the specialized courses of interest to be attended during the first two years; three of such courses require a final exam to be given by the end of the second year of the Doctorate Programme.

4. SEMINARS on various topics, to be attended during the three years of the Doctorate 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 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.
  • 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.
  • Complex Systems Modeling (2 credits), Prof. Hugues Bersini.
  • 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. Fedelucio 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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