Information updated until 30/06/2026 CODE 121605 ACADEMIC YEAR 2026/2027 CREDITS 6 cfu anno 1 COMPUTER SCIENCE 11964 (LM-18) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INFO-01/A LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 2° Semester OVERVIEW The teaching unit encourages students to apply Internet of Things and Advanced Data Management methods, algorithms, and technologies, as well as distributed computing techniques, in a data-centric autonomously developed project. AIMS AND CONTENT LEARNING OUTCOMES The teaching unit aims for students to gain a practical perspective on data processing pipelines, from data acquisition to data analysis, based on edge computing and NoSQL systems; gaining hands-on experience through a realistic data-centric project AIMS AND LEARNING OUTCOMES At the end of the course, students will be able to: DESIGN and DEVELOP data processing pipelines, from data acquisition to data analysis, based on edge computing and NoSQL systems, working on a real data-centric project. PREREQUISITES Basics of distributed computing. TEACHING METHODS Class and self-developed project. SYLLABUS/CONTENT Practical development of a project covering the central aspects of the course. RECOMMENDED READING/BIBLIOGRAPHY Material and references provided by the instructors. TEACHERS AND EXAM BOARD DAVIDE ANCONA Ricevimento: On demand, upon explicit requests by email or Teams BARBARA CATANIA Ricevimento: Appointment by email or by Microsoft Teams Office: Valle Puggia – 327 GIORGIO DELZANNO Ricevimento: Appointment by email GIOVANNA GUERRINI Ricevimento: Appointment by email or by Microsoft Teams Office: Valle Puggia – 301 LESSONS LESSONS START According to the calendar approved by the Degree Program Board: https://corsi.unige.it/en/corsi/11964/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Project development; oral examination. Guidelines for students with certified Specific Learning Disorders, disabilities, or other special educational needs are available at https://corsi.unige.it/en/corsi/11964/studenti-disabilita-dsa ASSESSMENT METHODS Through an autonomous project, we will check the students ability to combine and apply what they are learning in the Internet of Things and Advanced Data Management courses on a concrete data-centric project. FURTHER INFORMATION For further information, please refer to the course’s AulaWeb module or contact the instructor.
