I semester 2021-2022
All the lessons of the semester will be delivered “in person”, with possible shifts of the students enrolled to ensure compliance with the rules on social distancing. In particular, there is a mechanism for enrolling students for attendance “in presence”, and an App is being prepared through which, every two weeks, each student will be able to declare which courses he intends to follow “in presence” in the following two weeks. .
In any case, the remote usability of each lesson carried out “in person” will be ensured, through live streaming or recording of the lesson held in the classroom, which will be made available on the telematic platforms made available by the University.
WARNING: the timetable is still subject to variations; students are requested to check it daily.
The lessons of the “Laboratory of Data Science “ (Anna Monreale) will start on Thursday 16 September.
The lessons of the “Data Mining – modulo: Data mining: fundamentals” (Dino Predreschi/Mirco Nanni) will start on Thursday 16 September.
Due to technical problems, the channel for the “Programming for Data Science” course has not yet been created, and for the moment the channel with code 87agpt8 and the name “Ricevimento Studenti – Laura Semini” will be used. To find the classroom starting from the code, you can follow “join a team or create one” on the “Team” page of MS Team, or you can follow this link: https://teams.microsoft.com/l/channel/19%3afe011e35e45b40529ceefc4e047c8217%40thread.tacv2/Generale?groupId=080da78c-91e9-45d8-adaa-fb722c9c3d24&tenantId147-52506b31-a47-52-a47-52
Timetable of the courses in Tab. 2.4 (rules) can be found at: Timetable of Economics Department (in particular the Bachelor of Science in Management for Business and Economics) and Timetable of Master degree in Computer Science. (As regards the theory lessons of the same course, and as regards the “Ricerca Operativa” courses, students are free to follow course A or course B according to the timetable of the courses they attend).
|Orario di WDS-LM: Data science and business informatics|
Dipartimento di Informatica
|Big data analytics||6||LUCA PAPPALARDO||9:00‑10:45 Aula Fib M1||9:00‑10:45 Aula Fib C1|
|Business process modeling||6||ROBERTO BRUNI||16:15‑18:00 Aula Fib C1||16:15‑18:00 Aula Fib M1|
|Data mining||12||RICCARDO GUIDOTTI||11:00‑12:45 Aula Fib C||11:00‑12:45 Aula Fib A1|
|Decision support databases||6||SALVATORE RUGGIERI||9:00‑10:45 Aula Fib M1||16:15‑18:00 Aula Fib C|
|Distributed Data Analysis and Mining||6||ROBERTO TRASARTI||14:15‑16:00 Aula Fib C1||11:00‑12:45 Aula Fib M1|
|Information retrieval||6||PAOLO FERRAGINA||11:00‑12:45 Aula Fib A1||9:00‑10:45 Aula Fib A1|
|Laboratorio di basi di dati||6||GIOVANNA ROSONE||14:15‑16:00 Aula Fib H-Lab||14:15‑16:00 Aula Fib H-Lab||eccetto 27/10/2021 14:15-16:00 in Fib H-Lab|
eccetto 28/10/2021 14:15-16:00 in Fib H-Lab
|Laboratory of data science||6||ANNA MONREALE||11:00‑12:45 Aula Fib H-Lab||9:00‑10:45 Aula Fib H-Lab|
|Logistics||6||MARIA GRAZIA SCUTELLA'||16:15‑18:00 Aula Fib L1||11:00‑12:45 Aula Fib L1|
|Machine learning||9||ALESSIO MICHELI||16:15‑18:00 Aula Fib C||16:15‑18:00 Aula Fib C||14:15‑16:00 Aula Fib A1|
|Pianificazione e controllo gestionale||9||LUCIANO MARCHI||12:15‑13:45 Aula Eco C||14:00‑15:30 Aula Eco C||14:00‑15:30 Aula Eco C|
|Programmatic advertising||6||NICOLA CIARAMELLA||16:15‑18:00 Aula Fib A1||14:15‑16:00 Aula Fib L1|
|Programming for data science||12||LAURA SEMINI||11:00‑12:45 Aula Fib H-Lab||11:00‑12:45 Aula Fib H-Lab|
|Project design & management for data science||6||FILIPPO CHIARELLO||14:15‑16:00 Aula Fib C||14:15‑16:00 Aula Fib L1|
|Ricerca operativa - A||6||MAURO PASSACANTANDO||9:00‑10:45 Aula Fib C||11:00‑12:45 Aula Fib A1|
|Ricerca operativa - B||6||GIANCARLO BIGI||11:00‑12:45 Aula Fib C||9:00‑10:45 Aula Fib C||eccetto 28/10/2021 09:00-10:45 in Fib C|
lezione 28/10/2021 11:00-12:45 in Fib C
|Text analytics||6||ANDREA ESULI||9:00‑10:45 Aula Fib C||11:00‑12:45 Aula Fib M1|
Data imported from GOA