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Decision Support Systems - Module II (6 ECTS): LABORATORY OF DATA SCIENCE (2024/2025)
This is the second module of Decision Support Systems (801AA, 12 ECTS), previously called Laboratory of Data Science (664AA, 6 ECTS).
Instructors:
- Anna Monreale
- KDD Laboratory, Università di Pisa
- Office hours: Tuesday: 11:00-13:00 online using Teams or at the Department of Computer Science, room 374/E (Please ask for an appointment by email).
- Telephone +39-050-2213119
Cristiano Landi
- KDD Laboratory, Univesità di Pisa
- Office hours: Wednesday: 14:00-16:00 online using Teams or at the Department of Computer Science, room 343 (Please ask for an appointment by email).
If you are not asking for office hours, always email both instructors and include [LDS] at the beginning of the subject line.
The following is the timetable for the whole Decision Support Systems course. The two modules span differently over the semester. The first module will take most of the lessons from September to October. The second module will take most of the lessons from November to December.
Day of Week | Hour | Room |
---|---|---|
Tuesday | 9:00 - 11:00 | Fib C |
Wednesday | 16:00 - 18:00 | Fib H-Lab |
Thursday | 11:00 - 13:00 | Fib A1 |
Friday | 11:00 - 13:00 | Fib C1 |
A Teams channel is used to post news, Q&A, and other stuff related to the course. The lectures will be only in presence and will NOT be live-streamed, but recordings of the lecture from this or the previous years will be made available for non-attending students.
Learning Material
Slides & Recordings of the classes
- The slides used in the course will be inserted in the calendar after each class.
- Recordings of each lecture will be made available for non-attending students.
Past Exams
Software
- Anaconda (Please avoid Python 3.12)
- SQL Server 2019 Developer Edition or next:SQL Server 2019 Management Studio.
- Visual Studio Community 2022. Install/include SSDT workload in installation manager of visual studio: instructions here Italian: Data Tools Visual Studio 2022 IT English: Data Tools Visual Studio 2022 EN.
- Microsoft Excel
Note: preconfigured virtual machines can be found in the Teams channel for both AMD64 (Intel/AMD) and ARM (Apple Silicon) architectures.
F.A.Q.
- Unipi Authentication to access the VPN, make sure that network access services are enabled on your profile. Follow this link to access your Unipi profile.
Class calendar - (2024-2025)
Day | Topic | Slides | Data/Software | Video Lectures |
---|---|---|---|---|
18.09 | Introduction to the Course. BI Architectures. File data access. | Introduction BI architectures Files | video | |
25.09 | Python Recap. + Exercises | Python Recap | supplementary code | video |
02.10 | Python File Access | Python File Access | Data ex files LDS04 sol | |
09.10 | RDBMS access protocols | Relational Data Access ex-customers.pdf | Data ex files 2 LDS05 sol | |
23.10 | Python DB Access | slides previous lecture | video | |
24.10 | Python DB Access | slides previous lecture | 2024-sample-db.zip | video1 video2 |
29.10 | Python DB Access: exercises | slides previous lecture | ex-customer_sol | video |
30.10 | SQL Server + SSIS + ToCSV | SQL Server ETL and SSIS | video | |
06.11 | SSIS: FromCSV + Project Discussion | slides previous lecture | ||
07.11 | SSIS: Pipeline | |||
13.11 | ||||
14.11 | ||||
19.11 | ||||
20.11 | ||||
21.11 | ||||
26.11 | ||||
27.11 | ||||
28.11 | ||||
03.12 | ||||
04.12 | ||||
05.12 | ||||
10.12 | ||||
11.12 | ||||
12.12 |
Exams
There are no mid-terms. The exam of Decision Support Systems (801AA, 12 ECTS) consists of a written part and an oral part on the topics of the first module (50% of the final grade), and a lab project with discussion on the topics of the second module (50% of the final grade). See Module I: Decision Support Databases for the theory part. The project of Module II can be discussed only after passing Module I and not later than one year since then.
PROJECT
A project consists of a set of assignments corresponding to a BI process: data integration, construction of an OLAP cube, querying of the OPLAP cube, and reporting.
The project has to be performed by a team of 3 students.
Each part of the project must be documented with a brief pdf report (no more than 5 pages) describing your solution.
Final Project version to be delivered within 27/12/2024
- Dataset: Link
- First part of the project consists in the assignments described here: Project Part 1 (updated 30/10/2024). Deadline: 05/12/2024
Project to be delivered during the exam sessions Students who did not deliver the above project by 27/12/2024 need to ask by email a new project to the teachers. The project that will be assigned will require about 2 weeks of work. After the delivery, the project 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. Please write to all teachers!
Exam sessions
Registration to the written exam is mandatory (pay attention at the deadline for registering!): register here
Please indicate in the notes “Only Lab” for doing only the discussion of the lab project; “Only DSD” for doing only the written+oral part of the DSD module; or “DSD+Lab” for doing both.
Important: the date of the discussion of the lab project will be communicated to you. The dates at the registration website regard only the written part of the DSD module.