Instructors:

• Anna Monreale
  • KDD Laboratory, Università di Pisa
  • http://pages.di.unipi.it/amonreale/
  • anna [dot] monreale [at] unipi [dot] it
  • Office hours: Wednesday: 11:00-13:00 online using Teams (Appointment by email).
  • Telephone +39-050-2213119

• Roberto Pellungrini
  • KDD Laboratory, Università di Pisa
  • roberto [dot] pellungrini [at] di [dot] unipi [dot] it
  • Office hours: Thursday 14:00-16:00, Online using Teams (Appointment by email).
  • Telephone +39-050-2212728

• [15/10/2021] Instructions for installing Data Tools for Visual Studio 2019 are in the software section of the wiki. Please follow them closely, step by step.
• [15/10/2021] IMPORTANT The first part of the project is available. Checkpoint: 15 November.
• [02/10/2021] The lecture of Monday 4th October will be canceled.
• [08/09/2021] The first lecture will be on 16 Sept.
• [08/09/2021] You can join the class by using this link: https://teams.microsoft.com/l/team/19%3amm3HFMqMSvpUrGY2sMYlpzxQ-atdxhfXreRUHhvrODs1%40thread.tacv2/conversations?groupId=c196ac40-93a2-4436-adfe-a81af3d06eef&tenantId=c7456b31-a220-47f5-be52-473828670aa1
• [16/09/2021] IMPORTANT Please, fill the document at the following link with your information, so that we can provide you access to teaching database and mailing list: https://docs.google.com/spreadsheets/d/1yYzHXmykhbfwy7G9uB_Z1fGcW_Vtvjugy4Yvlj-aM2Y/edit?usp=sharing

Classes

Lessons will be held onilne by Teams Platform

Link to Teams module: https://teams.microsoft.com/l/team/19%3amm3HFMqMSvpUrGY2sMYlpzxQ-atdxhfXreRUHhvrODs1%40thread.tacv2/conversations?groupId=c196ac40-93a2-4436-adfe-a81af3d06eef&tenantId=c7456b31-a220-47f5-be52-473828670aa1

• The slides used in the course will be inserted in the calendar after each class.
• Registration of each lecture will be available on Teams

• 2016/17 text, 2015/16 text and 2015/16 solution, 2014/15 text and 2014/2015 solution, 2013/14 text, 2012/13 text and 2012/13 solution.

• Anaconda with Python 3.7 (Please, avoid Python 3.8)
• SQL Server 2019 Developer Edition:SQL Server 2019 Management Studio.
• Data Tools for Visual Studio 2019: instructions here Italian: Data Tools Visual Studio 2019 IT English: Data Tools Visual Studio 2019 EN
• Microsoft Excel
• Power BI Desktop

• Connection to wi-fi
• F.A.Q.s about the labs
• Unipi VPN
• Unipi Authentication to access the VPN, make sure that network access services are enabled on you profile. Follow this link to access your Unipi profile.

PROJECT

A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.

The project has to be performed by a team of 2 students (at most 3 after asking authorization for that to the teachers).

Project to be delivered within 31 December 2021

• First part of the project consists in the assignments described here: lds_project_2021_part_1.pdf
• A note about the first part of the project: for the 'language' attribute in the geography table, you should search for the necessary information elsewhere. Some examples are: http://download.geonames.org/export/dump/countryInfo.txt and http://www.fullstacks.io/2016/07/countries-and-their-spoken-languages.html
• Second part of the project consist in the assignments described here:
• Third part of the project consist in the assignments described here:
• Remember to re-submit all three parts of the project with your third part, as specified in the document above.
• Dataset: data2021.zip
• Deadline: First deadline - 15 Nov 2021 22 Nov 2021

Project to be delivered during the exam sessions Students who did not deliver the above project within 31 December 2021 need to ask by email a new project to the teachers. The project that will be assigned will require about 2 weeks of work and after the delivery it will be discussed during the oral exam. For those students, the oral exams will also cover some practical parts that could not be included in the project.

• LABORATORY OF DATA SCIENCE (2020/2021)
• LABORATORY OF DATA SCIENCE (2019/2020)
• LABORATORY OF DATA SCIENCE (2018/2019)
• BUSINESS INTELLIGENCE LAB (2017/2018)