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mds:d4ds:start [01/09/2022 alle 11:53 (3 anni fa)] Filippo Chiarellomds:d4ds:start [16/09/2022 alle 11:31 (3 anni fa)] (versione attuale) – [Exam for attending students] Filippo Chiarello
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-====== Project Design & Management for Data Science (2021/2022) ======+====== Project Design & Management for Data Science (2022/2023) ======
  
 **D4DS 2022/23** **D4DS 2022/23**
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 **Contact**: [[mailto:[email protected]|email]] - phone 050 2217318 -  [[https://www.linkedin.com/in/filippo-chiarello-2b382770/|Linkedin]] **Contact**: [[mailto:[email protected]|email]] - phone 050 2217318 -  [[https://www.linkedin.com/in/filippo-chiarello-2b382770/|Linkedin]]
 +
 +FIRST LESSON: 16/09
 +
 +LESSONS: 
 +
 +Tuesday: 16:00-18:00 FIB M1
 +
 +Friday: 16:00-18:00 FIB M1
  
 **Office hours**: Wednesday from 18:00 (to be scheduled with the professor) **Office hours**: Wednesday from 18:00 (to be scheduled with the professor)
 +
 +[[https://teams.microsoft.com/l/team/19%3aHrVduqSszKYZ4zKUwg2cC6qGyE-P_kSiRlAcOrNwdkE1%40thread.tacv2/conversations?groupId=54e2bbe6-c2f8-400f-a8e9-45d2238d02cd&tenantId=c7456b31-a220-47f5-be52-473828670aa1|LINK TO MSTeams Channel]]
  
 {{mds:d4ds:presentazione.png| }} {{mds:d4ds:presentazione.png| }}
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 ==== Objectives of the course==== ==== Objectives of the course====
  
-The course is focused on practical skills. Students will learn to apply quantitative methods for solving design problems in the context of data science and artificial intelligence. The students will acquire knowledge that is transversal to the Master Degree in Data Science and Business Informatics. In particular, the students at the end of the course will: +The course is focused on practical skills. Students will learn to apply quantitative methods for solving design problems in the context of data science and artificial intelligence. The students will acquire transversal knowledge to the Master Degree in Data Science and Business Informatics. In particular, the students at the end of the course will: 
  
 •  Be aware of the whole process of value generation in a data science process •  Be aware of the whole process of value generation in a data science process
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 ==== Intended Behaviours ==== ==== Intended Behaviours ====
  
-The course focus on different soft-skills. Some of these skills (i.e. creativity and critical thinking) will be faced using methodological approaches, to help students develop behaviours towards the use of methods using the approach developed in the [[https://ulisseproject.eu/|European Project Ulisse]]. During the activities of the course (lessons and project activities) the students will also develop the following behaviours:+The course focus on different soft skills. Some of these skills (i.e. creativity and critical thinking) will be faced using methodological approaches, to help students develop behaviours towards the use of methods using the approach developed in the [[https://ulisseproject.eu/|European Project Ulisse]]. During the activities of the course (lessons and project activities) the students will also develop the following behaviours:
  
 • Be able to work in a diverse, multi-cultural and interdisciplinary team • Be able to work in a diverse, multi-cultural and interdisciplinary team
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 The grade for the exam will be computed as follows:  The grade for the exam will be computed as follows: 
  
-  * Project Document: 30%, evaluated by the teacher +  * Project Document: 40%, evaluated by the teacher 
-  * Project Presentation: 20%, evaluated by the teacher+  * Project Presentation: 15%, evaluated by the teacher
   * Project Document: 10%, evaluated by peers students   * Project Document: 10%, evaluated by peers students
-  * Peer Evaluation: 20%, evaluated by the teacher +  * Peer Evaluation: 10%, evaluated by the teacher 
-  * Report Review: 20%, evaluated by the teacher+  * Report Review: 25%, evaluated by the teacher
  
 ==== Exam for non-attending students ==== ==== Exam for non-attending students ====
mds/d4ds/start.1662033203.txt.gz · Ultima modifica: 01/09/2022 alle 11:53 (3 anni fa) da Filippo Chiarello

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