The incoming scholar may be involved in a very articulated offer of teaching activities at different levels, including the PhD and Master ones: a commitment of overall at least 60 hours for (over at least 20 weeks) can be assumed to be established and possibly increased up to 100 hours overall if agreed with the lectureship holder.
These lessons can also be delivered and potentially inserted in some of the following Master level courses and PhD degrees, as well as graduate Executive Master initiatives.
Master level courses (the average class size is in the range 20-50):
Infrastructures for Cloud Computing and Big Data M, held by Prof. Antonio Corradi, within the di Master’s degree course in Computer Engineering (Bologna Campus);
- Technologies and systems for data base and big data management held by Prof. Marco Patella and Prof. Paolo Ciaccia, within Master’s degree course in Computer Engineering (Bologna Campus);
- Data Mining M, held by Prof. Claudio Sartori, within the Master’s degree course in Computer Engineering ( (Bologna Campus);
- Big Data, within the Master’s degree course in Computer Science and Engineering (Cesena Campus).
PhD level degrees (class size of around 20 people):
- Computer Science and Engineering (director Prof. Paolo Ciaccia): a course on big data themes has natural collocation herein. In addition, some students in this PhD have a scholarships specifically devoted to Big Data research.
- Data Science and Computation (director Prof. Marco Roccetti): born with the collaboration of the Milan Polytechnic and the Golinelli Foundation, that will develop studies and research both in the context of the basics of the discipline and in all its different application aspects as demonstrated by the collaborations and synergies of the eight different University Departments participating in the initiative.
- Structural and Environmental Health Monitoring and Management: this multidisciplinary degree is aimed to combine together methodological and technological skills that were previously provided in three different PhD programs ("Civil, Chemical, Environmental and Materials Engineering", "Computer Science and Engineering ", " Electronics, Telecommunications and Information Technologies").
The teaching activities might be of interest within some of the courses of the Executive Master in Data Science directed by Claudio Sartori (Bologna Business School – BBS, Bologna).
The incoming scholar, being involved in research activities of her/his interest, will also be naturally exposed to the day-by-day life of DISI research groups that includes: tutoring activities of MSc and PhD students for their project and thesis works; participation to period group seminars; preparation of tutorial and talks on specific topics of interest/expertise that might be also part of faculty training on specific data analysis methods and tools; and development of the curriculum of faculty members also though joint organization activities at international level (e.g., involvement in the design of international proposals and initiatives, conference organization, etc.).
Moreover, the Master’s degree in Computer Engineering is currently in an advanced stage of the study toward the implementation of a double-title international curricula, in collaboration with the University of Stockholm and the University of Bielefeld, and the presence of a chair on Big Data would further strengthen this internationalization project by expanding offerings in English in a direction of great interest.
Moreover, we believe there is much room for joint design initiatives at different levels, from European design (H2020) to USA (MAE), collaborating both as a department (DISI) and as a national laboratory (CINI Laboratories - National Interuniversity Consortium for the Computer technology).