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”).

 

Timetable October-April 2024 (last updated Octobre 17, 2024)

 

 

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 (1.25 CFU, 1 of lecture (8 hours), Period: October-November 2025) Teacher: Antonietta Bagnardi
  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)

• Methods for describing visualization techniques, complex visualization pipelines and chained visualizations (23 hours) (2 CFU, 23 hours, course period November 2023)
  Teacher: Prof. Marco Winckler (academic visiting)
  (scheduled lessons on the chart below)

• Quantum Programming for Software Engineering  (2 CFU, 16 hours, Period: February-March 2024) Teacher: Vita Santa Barletta

• Data Storytelling (3 CFU, 24 hours, Period: May-July 2024) Teachers:  (Balducci 2 CFU, 16 hours; Buono 1 CFU, 8 hours)

• Emotion recognition using non-invasive biometrics (16 hours) (16 hours, SSD: INF/01, 2 CFU, March 2024
  Teacher: Nicole Novielli
  (scheduled lessons on the chart below)

• An Introduction to the Virtual Element Method with focus on the Navier-Stokes Equation  (16 hours) (2 CFU, 16 hours, course period: October-November 2023),
  Teacher: Giuseppe Vacca 
  (scheduled lessons on the chart below)

• Control of Degenerate and Singular Parabolic Equations (16 hours) (2 CFU, 16 hours Period: June-July 2024)
  Teacher: Genni Fragnelli
  (scheduled lessons on the chart below)
• Geodesics in Spacetime Manifolds:  a Variational Approach (24 hours)(3 CFU, 24 hours Period: January-February  2024)
  Teacher: Annamaria Candela
  (scheduled lessons on the chart below)
• Theories and research methods in STEM education (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period:  March-May 2025
  Teacher: E. Faggiano, A.  Montone 
• Mathematics between “the two cultures”  (23 hours) (2 CFU,  1 of lecture (8 Hours)  and 1 of practice (15 hours), course period:  March-April 2024),  
  Teacher: R. Capone 
  (scheduled lessons on the chart below)
• Variational tools in Nonlinear PDEs (16 hours)  (2 CFU,  2 of lecture (16 Hours)  course period:  March-May 2024)
  Teachers: P. d’Avenia, A. Pomponio 
  (scheduled lessons on the chart below)
• Design of a Symbiotic AI system (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period:  January  2024)  
  Teacher: Luigi Quaranta
  (scheduled lessons on the chart below)

• Symbiotic AI: Understanding language-based human signals (31 hours)  (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period: November-December 2023)  
  Teacher: Lucia Siciliani
  (scheduled lessons on the chart below)
• Symbiotic AI: Improving the data quality and the algorithms (31 hours) (3 CFU, 2 of lecture (16 Hours) and 1 of practice (15 hours), course period: November-December 2023)
  Teacher: Cristiano Tamborrino
  (scheduled lessons on the chart below)
  

• Symbiotic AI: combining knowledge and reasoning (31 hours)  (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period: November-December 2023)
  Teacher: Zafar Saeed (31 hours)
  (scheduled lessons on the chart below)

• Understanding symbiotic AI systems to improve robustness of models (31 hours) (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period: November-December 2023)  
  Teacher: Giuseppina Andresini 
  (scheduled lessons on the chart below)
• Assessing the understandability of AI solutions in psychiatry (31 hours) (3 CFU, 2 of lecture (16 Hours) and 1 of practice (15 hours), course period:  December 2023 - January 2024)
  Teacher: Cristina Berchio
  (scheduled lessons on the chart below)
• Legal acceptability of symbiotic AI (31 hours)  (3 CFU,  2 of lecture (16 Hours)  and 1 of practice (15 hours), course period:  December-February 2023)
  Teacher: Piero Marra
  (scheduled lessons on the chart below)
  

• 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 (academic visiting)
  (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 (academic visiting)
  (scheduled lessons on the chart below)
• Visualization of time oriented data (23 hours)(2 CFU, 1 of lecture (8 hours) and 1 of practice (15 hours)  course period April 2024)
  Teacher:  Prof. Wolfgang Aigner  (academic visiting)
  (scheduled lessons on the chart below)
• Statistical tests and multiple testing (8 hours)(1 CFU, 1 of lecture (8 hours) course period April 2024)
  Teacher:  Prof. Dr. Markus Neuhäuser  (academic visiting)
  (scheduled lessons on the chart below)
• Oscillatory Fourier Integrals and Applications to Evolution  PDE's (8 hours)(1 CFU, 1 of lecture (8 hours) course period June 2024)Teacher: Prof. Marcelo Rempel Ebert (academic visiting)
  (scheduled lessons on the chart below)
• Privacy & data protection (8 hours) (1 CFU, 1 of lecture - 8 hours) course period July 2024)
  Teacher: Prof. Gaetano Ruggero Pensa (academic visiting)
  (scheduled lessons on the chart below)