News
For "Pattern recognition" course, a virtual class has been opened on Google Classroom:
Pattern Recognition - Prof. A. Rizzi - A.A. 2024/2025
Electronics Engineering Master Degree – LM29
Course code: jxg34cc
Pattern Recognition lectures will start on Wedensday February 26th 2025, with the following weekly schedule:
Tuesday: 12:00 - 14:00, Room 20
Wednesday: 16:00 - 19:00, Room 23
Main Building A - RM031
Via Eudossiana, 18
Students are invited to enroll in Google Classroom, using their institutional e-mail address (name.surname@studenti.uniroma1.it)
All other information concerning the course will be provided through Google Classroom.
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Tutti gli studenti che seguiranno l'insegnamento "Elettrotecnica" (canale M-Z, Laurea in Ingegneria Gestionale) nell'A.A. 2024/2025 (secondo semestre) sono pregati di iscriversi in Google Classroom utilizzando la casella di posta elettronica istituzionale ("....@studenti.uniroma1.it"). Il codice per l'iscrizione al corso è mfxvyjs.
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For "Computational Intelligence" course, a virtual class has been opened on Google Classroom:
Computational Intelligence
Prof. A. Rizzi - A.A. 2024/2025
Course code: lo4exp3
Computational Intelligence lectures will start on Monday, September 23th 2024, with the following weekly schedule:
Monday: 16:30 - 18:00, Room 5
Tuesday: 16:00 - 19:00, Room 2
Room site: Main Building A - RM031 - Via Eudossiana, 18
Students are invited to enroll, using their institutional e-mail address (@studenti.uniroma1.it)
All other information concerning the course will be provided through Google Classroom.
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For "Complex Systems Modelling by Granular Computing" PhD course, a virtual class has been opened on Google Classroom:
Complex Systems Modelling by Granular Computing - Prof. A. Rizzi - A.A. 2023/2024
Course code: ofzaxwb
Lectures will start in September 2024, with the following schedule:
Monday 2 September 4.00pm - 7.00pm - Room: DIET/09
Tuesday 3 September 4.00pm - 7.00pm - Room: DIET/09
Wednesday 4 September 4.00pm - 7.00pm - Room: DIET/09
Thursday 5 September 4.00pm - 7.00pm - Room: DIET/09
Building B - RM032
Via Eudossiana, 18
Students are invited to enroll in Google Classroom, using their institutional e-mail address (name.surname@studenti.uniroma1.it)
All other information concerning the course will be provided through Google Classroom.
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