Differenze

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--- mds:lbi:start [22/11/2022 alle 20:34 (22 mesi fa)] – [Class calendar - (2022-2023)] Anna Monreale
+++ mds:lbi:start [23/09/2024 alle 07:23 (14 ore fa)] (versione attuale) – [Decision Support Systems - Module II (6 ECTS): LABORATORY OF DATA SCIENCE (2024/2025)] Salvatore Ruggieri
@@ Linea 1: / Linea 1: @@
-<html>
+====== Decision Support Systems - Module II (6 ECTS): LABORATORY OF DATA SCIENCE (2024/2025) ======
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+This is the second module of [[mds:dss:start|Decision Support Systems]] (801AA, 12 ECTS), previously called Laboratory of Data Science (664AA, 6 ECTS).
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-====== Decision Support Systems - Module II (6 ECTS): LABORATORY OF DATA SCIENCE (2022/2023) ======
-This is the second module of [[mds:dss:start|Decision Support Systems]] (801AA, 12 ECTS), previously called Laboratory of Data Science ((664AA, 6 ECTS).
@@ Linea 61: / Linea 8: @@
     * [[http://pages.di.unipi.it/amonreale/]]
     * [[anna.monreale@unipi.it]]
-    * Office hours: Tuesday: 11:00-13:00 by online using Teams or at the Department of Computer Science, room 374/E (Please ask an appointment by email).
+    * 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
-  * **Roberto Pellungrini**
+ **Cristiano Landi**
-    * KDD Laboratory, Università di Pisa
+    * KDD Laboratory, Univesità di Pisa
-    * [[roberto.pellungrini@di.unipi.it]]
+    * [[cristiano.landi@phd.unipi.it]]
-    * Office hours: Thursday 14:00-16:00, Online using Teams (Appointment by email).
+    * 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).
-    * Telephone +39-050-2212728
-====== News =====
-  * [08.11.2022] Instructions for the SSAS project in the Lecture of today: to avoid conflicts in deployment/process follow this steps once the solution is opened: (1) rename the project as <your account>_foodmart (2) from project properties select 'Deployment', then rename the database as <your account>_foodmart; (3) click on the button "show all files" just above "Solution explorer" right click on "view code" on the .database file that is visualized, and then change the ID from current name into <your account>_foodmart, and finally save the file; (4) change the credentials of connection to database on SQL Server. As an alternative solution you may[[ http://technet.microsoft.com/en-us/library/ms175630.aspx#bkmk_newusingwizard|import the project]] from the SSAS server and rename it as <your account>_foodmart (step 4 is still necessary).
-  * [09.09.2022] The lectures will be only in presence and will **NOT** be live-streamed, but recordings of the lecture or of the previous years will be made available here for non-attending students.
-====== Hours and Rooms ======
-**Classes **
+**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   | 14:00 - 16:00  |  Room Lab. H  |
+|  Tuesday  |  9:00 - 11:00  |  Fib C  |
-| Thursday  | 09:00 - 11:00  |  Room Lab. M  |
+|  Wednesday  |  16:00 - 18:00  |  Fib H-Lab  |
+|  Thursday  |  11:00 - 13:00  |  Fib A1  |
+|  Friday  |  11:00 - 13:00  |  Fib C1  |
+A [[https://teams.microsoft.com/l/team/19%3AqCllWc8f7UVglFSVL_MhR4ZjaLlWkUjUvJ3ROQdLSOA1%40thread.tacv2/conversations?groupId=14d45f09-9ae8-4f9f-afd1-114348877094&tenantId=c7456b31-a220-47f5-be52-473828670aa1|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.
-A **[[https://teams.microsoft.com/l/channel/19%3a1ade445a235343fcb93aa6a19a174a5c%40thread.tacv2/Module%2520II%2520-%2520Laboratory%2520of%2520Data%2520Science?groupId=279299f3-aa07-48b1-8ec6-b2fd1a6d125d&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams Channel]]** will be used ONLY 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 or of the previous years will be made available here for non-attending students.
 ====== Learning Material ======
@@ Linea 93: / Linea 42: @@
 ===== Software=====
-  * Anaconda with Python 3.7 (Please, avoid Python 3.8)
+  * Anaconda (Please avoid Python 3.12)
-  * SQL Server 2019 Developer Edition:[[https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-ver16|SQL Server 2019 Management Studio]].
+  * SQL Server 2019 Developer Edition or next:[[https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-ver16|SQL Server 2019 Management Studio]].
-  * Data Tools for Visual Studio 2019: instructions here Italian: [[https://docs.microsoft.com/it-it/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-ver15#ssdt-for-visual-studio-2019|Data Tools Visual Studio 2019 IT]] English: [[https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-ver15#ssdt-for-visual-studio-2019|Data Tools Visual Studio 2019 EN]]
+  * Visual Studio Community 2022. Install/include SSDT workload in installation manager of visual studio: instructions here Italian: [[https://learn.microsoft.com/it-it/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-ver15#ssdt-for-visual-studio-2022|Data Tools Visual Studio 2022 IT]] English: [[https://learn.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-ver15#ssdt-for-visual-studio-2022|Data Tools Visual Studio 2022 EN]].
   * Microsoft Excel
   * [[https://powerbi.microsoft.com/it-it/desktop/| Power BI Desktop]]
+**Note**: preconfigured virtual machines can be found in the [[https://teams.microsoft.com/l/team/19%3AqCllWc8f7UVglFSVL_MhR4ZjaLlWkUjUvJ3ROQdLSOA1%40thread.tacv2/conversations?groupId=14d45f09-9ae8-4f9f-afd1-114348877094&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams channel]] for both AMD64 (Intel/AMD) and ARM (Apple Silicon) architectures.
 ===== F.A.Q. =====
@@ Linea 103: / Linea 54: @@
   * [[http://www.sid.unipi.it/polo2/studenti/ | F.A.Q.s about the labs]]
   * [[https://start.unipi.it/help-ict/vpn/ | Unipi VPN ]]
-  * [[https://autenticazione.unipi.it/auth/auth.signin | 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.
+  * [[https://autenticazione.unipi.it/auth/auth.signin | 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 - (2022-2023) ======
+====== Class calendar - (2024-2025) ======
-^ ^ Day  ^ Topic ^ Slides  ^ Data/Software ^ References ^ Video Lectures ^ Teacher|
+^ Day  ^ Topic ^ Slides  ^ Data/Software ^ References ^ Video Lectures ^
-|1. |15.09  09:00-11:00| Introduction to the Course. BI Architecture. File data access. |  {{ :mds:lbi:2022-lds.01.introduction.pdf | Course Introduction}}  {{ :mds:lbi:2022-lds.02.bi_architectures.pdf | BI Archit.}} {{ :mds:lbi:2022-lds.03.file_data_access.pdf | File Data Access}}| |-** BI technology:** [[https://cacm.acm.org/magazines/2011/8/114953-an-overview-of-business-intelligence-technology/fulltext | An Overview of Business Intelligence Technology]] - **File access:** {{ :mds:lbi:filesystem.pdf | File System Interface}}  | [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/ETP3AXvvKmNAs6wO2gdSwBQBnnIdm9e7CIiW1ao6sv68xA?e=XmsAGP|Video 1: BI Architecture]] [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/EQGOCKbyor5Jv6BtfFbRX6ABA9Mit-4ARPhB_M6cD-SCZg?e=WAC02j|Video 2: File Data Access - Part 1]] | Monreale |
+|18.09| Introduction to the Course. BI Architectures. File data access. | {{ :mds:lbi:2024-lds.01.introduction.pdf | Introduction}} {{ :mds:lbi:2024-lds.02.bi_architectures.pdf | BI architectures}} {{ :mds:lbi:2024-lds.03.file_data_access.pdf | Files}} | |-** BI technology:** [[https://cacm.acm.org/magazines/2011/8/114953-an-overview-of-business-intelligence-technology/fulltext | An Overview of Business Intelligence Technology]] - **File access:** {{ :mds:lbi:filesystem.pdf | File System Interface}} | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EZeGVNiFuYlDq_UbKCecP6gB_kZpwz9DnIPvVoFfLM2laQ?nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZy1MaW5rIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXcifX0%3D&e=aaYsXE|video]] |
-|2. |  20.09 14:00-16:00| Representation formats: CSV, FLV, ARFF, XML. Python Recap.| {{ :mds:lbi:2020-lds.04.python.pptx.pdf | Python Recap}} |  | - **File Formats:** [[http://www.stat.auckland.ac.nz/~paul/ItDT | Introduction to data technologies(Chps. 5, 6)]],  [[http://weka.wikispaces.com/ARFF+(stable+version)|Weka ARFF Format]], [[http://weka.wikispaces.com/XRFF|XRFF Format]] - **Python reference:** [[https://www.spronck.net/pythonbook/ | Free python book with exercises]] | [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/EVudIciqB_JCpbeL0bxLbjIBMzWvDJllrSYQUqe2QdeCSA?e=4QgNVC|Video 1: File Data Access and Python Recap]] [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/EaMXyY3JHGNIg7vX4FW9hkQBhOvezPLTdmp3NyO87m46wg?e=ba9YdF|Video 2: Python Recap]]| Monreale, Pellungrini |
+|25.09| Python Recap. + Exercises | {{ :mds:lbi:2024-lds.04.python.no.ex.sol.pdf | Python Recap (no sol)}} | {{ :mds:lbi:2024-lds.04_supplementary.code.zip | supplementary code}} | | |
-|3. |  22.09 09:00-11:00 | File Access in Python | {{ :mds:lbi:lds.05.fileaccess-python2021.pdf |}} | {{ :mds:lbi:data1.zip |}} {{ :mds:lbi:python_solutions.zip |}}| |[[https://unipiit.sharepoint.com/:v:/s/a__td_57058/EbciASaZjItFqNtjSCpAohcBBeqLaMbSWE3iZ0XP9RM_UA?e=YB8xfj|Video: Python Lab: Exercises & File Access]] |Pellungrini |
+|02.10| | | | | |
-|4. |  26.09 14:00-16:00 | File Access in Python, lab practice | {{ :mds:lbi:lds.05.fileaccess-python2021.pdf |}} | {{ :mds:lbi:data1.zip |}}{{ :mds:lbi:solutions26092022.zip |}} | | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EeFtvS3FifpHpMBcLqTR838BLcXdy53knxEQS2aNYo5v3w?e=qpZSix|Video Lecture]]|Pellungrini |
+|09.10| | | | | |
-|5. |  29.09 9:00-11:00 | Python Exercises  | {{ :mds:lbi:ex-customers.pdf |}} | {{ :mds:lbi:data-customers.zip |}} {{ :mds:lbi:ex-customers_solution.zip |}} {{ :mds:lbi:lds.file.format.zip |}}| | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EY2gMgaN5phBq-CFpyJIQ9UBrdHTrFY5FR7H7s3RDMU1Tg?e=owdZAX|Video Lecture]] |Pellungrini|
+|22.10| | | | | |
-|6. | 04.10 14:00-16:00 |RDBMS access protocols: ODBC, OLE DB, JDBC. ODBC Programming.   | {{ :mds:lbi:lds.06.relational_data_access-2021.pdf |}}  |  |   | [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/ETwH7giy9a9Mi7Xtfu9OuX0BBxaBF-esaYndY_Ah2ZdXXA?e=kD1zTn|Video 1]]; [[https://unipiit.sharepoint.com/:u:/s/a__td_57058/EZqPbMAVuXdFn6_1GWVG8dABalyJM5kEPNAoSD2dzz7Ogw?e=rFcn6n|Video 2]]   | Monreale|
+|23.10| | | | | |
-|7. | 06.10 09:00-11:00 |RDBMS access protocols: ODBC, OLE DB, JDBC. ODBC Programming.  | {{ :mds:lbi:lds.06.relational_data_access-2021.pdf |}}  |  {{ :mds:lbi:2021-code-db-samples.zip |}}|   | | Monreale|
+|30.10| | | | | |
-|8. | 11.10 14:00-16:00 | Stratified Sampling, SQL server management demo  | {{ :mds:lbi:lds.07.sqlserver.pdf |}}  |  {{ :mds:lbi:stratifiedsampling.zip |}}|   |[[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EYsfdMxeMdJLq7aKa6ChyJQBP1X6-HWRKgI8eNyj7ECycw?e=3f8fI5|Video Lecture]] | Pellungrini|
+|06.11| | | | | |
-|9. | 13.10 09:00-11:00 |ETL tools: SQL Server Integration Services (SSIS).  |  {{ :mds:lbi:lds.08.etlandssis.pdf |}}|  |   | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/ETXouaErlVtPunby2a03fOMBoZFdxbzdNdTgqsE1G1dAWQ?e=DRDruP|Video1]][[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EYp2NAEPOPpEhLrwLXXGMWEBmw11n5jHVxk3W_cq9hKkRw
+|07.11| | | | | |
-|Video 2]] [[https://unipiit.sharepoint.com/:v:/s/a__td_524292/Eag-ig3Gsr9IltX0UiIx2OMBzzt8Jls0IBdVrNRxjPQnHw?e=jHZYf4|Video 1 - 2021]]| Monreale|
+|12.11| | | | | |
-|10. | 18.10 14:00-16:00 |ETL tools: explanation + practice  |  {{ :mds:lbi:lds.08.etlandssis.pdf |}}| {{ :mds:lbi:2021-lds-etl-project.zip |}} |   | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/ETqRob0alitAv7t0HbEXPvoB7pqUhKWTPtPySF0y3cTyOA?e=kXWdPQ|Video]]| Pellungrini|
+|13.11| | | | | |
-|11. | 20.10 09:00-11:00 |SSIS exercises: Stratified Subsampling  | {{ :mds:lbi:ex-midterm.pdf |}} | |   | [[https://unipiit.sharepoint.com/:v:/s/a__td_524292/EStEjTSwWmpPs8OUhgn87eoBYqfq18tJURoIazSn1XBsIA?e=J9os3H|Video of the last year]]| Monreale|
+|14.11| | | | | |
-|12. | 25.10 14:00-16:00 |SSIS exercises: Dissimilarity Index + project support | {{ :mds:lbi:ex-midterm.pdf |}} | {{ :mds:lbi:exercises25102022.zip |}} |  | [[ https://unipiit.sharepoint.com/:v:/s/Registrazioni628/ETsCALQT3RpFroh_ejSiDlABtV8erMLv1nci_Bv4QmCDiw?e=8jzYli |Video]]| Pellungrini|
+|19.11| | | | | |
-|13. | 27.10 14:00-16:00 |Slowly Changing Dimensions + project support | | {{ :mds:lbi:lbiexamplescomplete.zip |}}  | | [[ https://unipiit.sharepoint.com/:v:/s/Registrazioni628/ERDloA16n-lOtev3zK9nNRwBxnGwpoy2qg-8GVhU-nP2sw?e=PDKeay |Video]]| Pellungrini|
+|20.11| | | | | |
-|14. | 03.11 09:00-11:00 |SSIS: Surrogate keys| | {{ :mds:lbi:lbiexamplescomplete.zip |}}  | | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/Ebld1Nylwo1Jtfwlovu0nSoBsECotn3m6cpwdJrkS61r5A?e=CeaE6Q |Video1]]| Monreale|
+|21.11| | | | | |
-|15. | 08.11 14:00-16:00 |OLAP with SQL Server Analysis Services (SSAS): data source views, dimensions, hierarchies. |{{ :mds:lbi:lds.09.ssas-21.pdf |}} |  {{ :mds:lbi:foodmart_monreale_full_2022_nov08.zip |}}|**1) SSAS (olap):** [[http://msdn.microsoft.com/en-us/library/bb522607.aspx|documentation]]; 2) S. Harinath et al. {{ :mds:lbi:ssas2012ch456.pdf |Professional Microsoft SQL Server Analysis Services 2012 with MDX and DAX, Wrox publisher, 2012. Chps. 4-6}} | [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/EUX2ObQqufBDrkx7yFcHqDEB4Zr_LUdRREIN6vxuAYpDFA?e=ykDFgl|Video]] We published the recording of the last year because the video has some audio issue.| Pellungrini|
+|03.12| | | | | |
-|16. | 10.11 09:00-11:00 |OLAP with SQL Server Analysis Services (SSAS): Data cubes, Parent-child hierarchies.  | same slides of the last lecture |  | This version of the project contains the dependecies {{ :mds:lbi:10nov-foodmart_monreale_full.zip |}} | [[https://unipiit.sharepoint.com/:v:/s/a__td_57058/ESA7pAfGhdtPnwgoD4i9p4QB3D-PRfOfDS7sTKurHKYQ_Q?e=vhTpYx|Video]]| Monreale|
+|04.12| | | | | |
-|17. | 15.11 14:00-16:00 |OLAP Cube, Measure setup, Calculated Members, Excel power pivot integration.| same slides of the last lecture |{{ :mds:lbi:foodmartexplorative.xlsx |}}  |  | [[ https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EUsRIkohIKdMqt4jbGTdxtwBbVabSQPbW9tpjHmBruSyCQ?e=y1UehI |Video 1]]; [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EesjYirvg2JKsUD1pAYHBxwBSqQCI1LGJXDtBxxLi5Dc6w?e=4W1uOr|Video 2]] | Monreale|
+|05.12| | | | | |
-|18. | 17.11 9:00-11:00 | Visual Studio advanced Features and MDX first examples| same slides of the last lecture |  {{ :mds:lbi:foodmart_monreale_full.zip |}} | **MDX:** 1) [[http://msdn.microsoft.com/en-us/library/bb500184.aspx|documentation]] and a [[https://www.mssqltips.com/sqlservertip/3129/order-and-sort-with-mdx-in-sql-server-analysis-services/|useful guide on ordering]]; 2) S. Harinath ed al. {{ :mds:lbi:ssas2012ch3.pdf |Professional Microsoft SQL Server Analysis Services 2012 with MDX and DAX, Wrox publisher, 2012. Chp. 3.}} | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EQ3lRlKIyatJuMi2tlOH6LUBbrk8uslzqZylLFFr6QzjCQ?e=mlUdsa|Video ]]| Pellungrini|
+|10.12| | | | | |
-|19. | 22.11 14:00-16:00 | MDX Practice| same slides of the last lecture |  |  | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EVWsnC85_edHorLhH9Gz9DsBcXF1nvxaexdGPmV2SqHYTg?e=MgoBeB|Video ]]| Monreale|
+|11.12| | | | | |
-|20. | 24.11 09:00-11:00 | MDX Practice| same slides of the last lecture |  |  | [[|Video ]]| Monreale|
+|12.12| | | | | |
-|21. | 29.11 14:00-16:00 | MDX Practice| same slides of the last lecture |  |  | [[https://unipiit.sharepoint.com/:v:/s/Registrazioni628/EVWsnC85_edHorLhH9Gz9DsBcXF1nvxaexdGPmV2SqHYTg?e=MgoBeB|Video ]]| Monreale|
-|22. | 01.12 09:00-11:00 | Practice on MDX   + PowerBI|  |  |  | [[|Video ]]| Monreale|
-|23. | 13.12 14:00-16:00 | Lecture by Noovle SPA, TIM. Group (lecture only in Italian)|  |  | [[|Video ]]| Monreale|
-|24. | 15.12 09:00-11:00 | Lecture by Noovle SPA, TIM. Group (lecture only in Italian)|  |  | [[|Video ]]| Monreale|
 ====== 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). For the rules of the first module visit the [[http://didawiki.di.unipi.it/doku.php/mds/dsd/start|Module I: Decision Support Databases]].
-For details on the Lab project read with attention the next section.
+__//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 [[mds:dsd:start|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 in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
+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 2 students (at most 3 after asking authorization for that to the teachers).
+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 that 2/3 pages) describing your solution.
+Each part of the project **must be documented** with a brief pdf report (no more than 5 pages) describing your solution.
-**Project to be delivered within 31 December 2022 **
+**Project to be delivered within 27/12/2024 **
-  * First part of the project consists in the **assignments** described here:{{ :mds:lbi:lds_project_2022_part_1.pdf |}}
+  * **Dataset:**
-  * Second part of the project consist in the **assignments** described here:{{ :mds:lbi:lds_project_2022_part_2.pdf |}}
-  * 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:** {{ :mds:lbi:answerdatasetnew.zip |}}
-  * **Deadline**: First deadline  - 9 Nov 2022
-  * **Deadline**: Second deadline - 10 Dec 2022
-  * **Deadline**: Third deadline - 31 Dec 2022
 **Project to be delivered during the exam sessions **
-Students who did not deliver the above project within 31 December 2022 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. ** Please write to both teachers!**
+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 =====
-^ Session ^ Date            ^ Time        ^ Room   ^ Notes ^ Marks ^
+Registration to the written exam is mandatory (**pay attention at the deadline for registering!**): [[https://esami.unipi.it/esami2/|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
+[[https://esami.unipi.it/esami2/|registration website]] regard **only** the written part of the DSD module.
 =====Past Editions =====
+  * [[LDS 2023-2024]]
+  * [[LDS 2022-2023]]
   * [[LDS 2021-2022]]
   * [[LDS 2020-2021]]