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digitalhealth:0001a

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digitalhealth:0001a [16/12/2025 alle 16:08 (2 giorni fa)] – [Exams] Anna Monrealedigitalhealth:0001a [16/12/2025 alle 16:13 (2 giorni fa)] (versione attuale) – [Exams] Anna Monreale
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 Deadline. January 5th, 2026. Deadline. January 5th, 2026.
-Delivery instructions. The final deadline of the project is 5th January 2026 at 23:59. This deadline is STRICT. No extension is possible because then the winter session of exams starts. Groups that will not deliver the project by 5th January will need to do the written exam during the exam sessions. Each group must deliver by email to anna.monreale@unipi.it, francesca.naretto@unipi.it a zipped folder named DM_GroupID.zip and containing 4 folders and 1 pdf file: a folder named DM_GroupID_TASK_DU, containing source code of data understanding; a folder named DM_GroupID_TASK_CLU, containing source code of data clustering; a folder named DM_GroupID_TASK_CLA, containing source code of classification; a folder named DM_GroupID_TASK_TS, containing source code of time series analysis; a pdf file with maximum 25 pages including figures discussing the results of the tasks. The name of this file must be: DM_Report_GroupID.pdf. The file must contain the list of authors (i.e., members of the group). The subject of the email must be “DMProject25_GroupID+Delivery instructions. The final deadline of the project is 5th January 2026 at 23:59. This deadline is STRICT. No extension is possible because then the winter session of exams starts. Groups that will not deliver the project by 5th January will need to do the written exam during the exam sessions. Each group must deliver by email to anna.monreale@unipi.it, francesca.naretto@unipi.it a zipped folder named DM_GroupID.zip and containing 4 folders and 1 pdf file: a folder named DM_GroupID_TASK_DU, containing source code of data understanding; a folder named DM_GroupID_TASK_CLU, containing source code of data clustering; a folder named DM_GroupID_TASK_CLA, containing source code of classification; a folder named DM_GroupID_TASK_TS, containing source code of time series analysis; a pdf file with maximum 25 pages including figures discussing the results of the tasks. The name of this file must be: DM_Report_GroupID.pdf. The file must contain the list of authors (i.e., members of the group). The subject of the email must be “DADHProject25_GroupID
  
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digitalhealth/0001a.1765901322.txt.gz · Ultima modifica: 16/12/2025 alle 16:08 (2 giorni fa) da Anna Monreale

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