PhD Programme in Computer Science and Mathematics

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Study Plan and Courses 2023-2025

For the PhD students of the cycle XXXIX, 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 14th Dec 2021 Ministerial Decree n. 226 ("Regulations concerning ... criteria for the creation of PhD Programmes by registered institutions”).

 

For the Academic Years 2023/2025, the following course on scientific research writing (to be attended by all the PhD students)  This course is related to the  seminars of Scientific Research Writing

  • Scientific Reseach Writing (2 CFU, 1 of lecture (8 hours)  and 1 of practice (15 hours), Period: January-February 2024) Teacher: Antonietta Bagnardi
    (the English course timetable will be updated. The new schedule will be provided soon) This course is related to the 10 hours seminars of Scientific Research Writing
  • Cycle of Seminars "Italian  for Foreign Students at the University of Bari (12 hours)" Teacher: Eleonora Bernasconi
    (scheduled lessons on the chart below)

 

For the Academic Years 2023/2025, the following SPECIALIZED COURSES are offered:

  • Ethics and AI  (12 hours) (1,5 CFU, 12 hours, course period:October-November 2023), link to the course,
    Teachers: Maurizio Mori, Tiziana Catarci, Guido Boella,Giovanni Sartor
     (scheduled lessons on the link)
  • First Module (12 hours of lectures): Historical-philosophical fundamentals of AI: life, intelligence and machine
  • Second Module (12 hours of lectures): AI, Ethics and European Regulation. 
  • Third Module (30 hours of practice): Workshops on case studies (LLM, ChatGPT, robotics and exoskeletons) 

 (5 CFU,  3 of lecture (24 Hours) and 2 of practice (30 hours), course period: November 2023 - April 2024)  Teachers: Antonio Carnevale, Antonio Lombardi

(scheduled lessons on the chart below)

  • Sustainability of symbiotic AI  (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period:  December 2023 - January 2024)  
    Teacher: Graziella De Martino
    (scheduled lessons on the chart below)
  • Data-centric AI: transforming raw data into smart data (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period: November-December)  
    Teacher: Vincenzo Pasquadibisceglie
    (scheduled lessons on the chart below) 
  • Symbiotic AI: case studies in challenging domains (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period:  November-December 2023)  
    Teacher: Vincenzo Dentamaro  (31 hours)
    (scheduled lessons on the chart below)
  • Explainability for symbiotic AI (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period: November-December 2023)  Teacher: Gianluca Zaza
    (scheduled lessons on the chart below) 
  •  Teachers Knowledge and Technology Integration (16 hours) (2 CFU,  2 of lecture (16 Hours)  ), course period: November-December 2023)  Teacher: Helena Rocha
    (scheduled lessons on the chart below)
  •  Data Privacy in Big Data Context (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period:   January 2024)  Teacher: Domenico Desiato. (scheduled lessons on the chart below)
  • Stability of wave equation in one and multidimensional cases with and without geometric control conditions (8 hours)
  • (1 CFU, 8 hours, course period March 2024),  Teacher: Mohammad Akil
     (scheduled lessons on the chart below)



 

 

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