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--- mds:pds:start [08/09/2020 alle 19:34 (4 anni fa)] – [Classes] Giuseppe Prencipe
+++ mds:pds:start [16/09/2024 alle 17:40 (8 giorni fa)] (versione attuale) – [Software] Laura Semini
@@ Linea 1: / Linea 1: @@
-<html>
+====== Programming for Data Science A.Y. 2024/25 ======
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-====== Programming for Data Science A.Y. 2020/21 ======
 This is an introductory course to computer programming and related mathematical/logic background for students without a Bachelor in Computer Science or in Computer Engineering. The objective is to smoothly introduce the student to the programming concepts and tools needed for typical data processing and data analysis
 tasks. The course consists of lectures and practice in computer labs.
-The course is **ANNUAL**: so, classes will start in September and finish in May. Hence, the first exam date for students attending the course this year for the first time will be at the end of May.
+The course is in the **1st SEMESTER**: so, classes will start in September and finish in January: there will be a written/lab exam first, if you succeed, then you are admitted to the second part of the exam, the oral.
-The first semester of the course will be only on-line (see below for details).
 =====Instructors=====
-  * **Giuseppe Prencipe**
+  * **Salvatore Trani**
-    * Università di Pisa
+    * ISTI-CNR and Università di Pisa
-    * [[http://sbrinz.di.unipi.it/peppe/]]
+     * [[salvatore.trani@isti.cnr.it]]
-    * [[giuseppe.prencipe@unipi.it]]
   * **Laura Semini**
     * Università di Pisa
-    * [[http://pages.di.unipi.it/semini/]]
     * [[laura.semini@unipi.it]]
+    * Office Hours: Thursday 9-11 (not on march 7th)
-=====Classes=====
-^  Day of Week  ^  Hour  ^  Room  ^  Type  ^
-|  Thursday |  09:00 - 11:00  |  <html><a href='https://meet.google.com/lookup/bgfgzypj6a'>Remote lecture</a></html>  |  Remote lecture  |
-|  Friday |  11:00 - 13:00  |  <html><a href='https://meet.google.com/lookup/bgfgzypj6a'>Remote lecture</a></html>  |  Remote lecture  |
-<html>
+Lessons: <
-<span style="color:red"> <b>VIRTUAL ROOM:<br>
-</b> Google Meets link for remote lectures: <a href='https://meet.google.com/lookup/bgfgzypj6a'>Join Class</a></b>.</span><br>
-</span></html>
-=====Office hours=====
+Course slides & other material on **Teams: "667AA 24/25 - PROGRAMMING FOR DATA SCIENCE [WDS-LM]", https://teams.microsoft.com/l/team/19%3ArjrbC2bZuNSJ6YDv_xoiS42M171Z8jbk1PFarIMVwpk1%40thread.tacv2/conversations?groupId=63b57f30-ba5e-4503-a794-1f23f80a7f10&tenantId=c7456b31-a220-47f5-be52-473828670aa1**
-  * Prof. Prencipe: by appointment.
-  * Prof. Semini: by appointment.
 =====Text Books=====
-  * **[T]** Kenneth H. Rosen.  //Discrete Mathematics and Its Applications//. Seventh Edition, MCGraw-Hill, 2012. [[http://highered.mheducation.com/sites/0073383090|Supplement material]] (including Errata-Corrige).
+    * **[T]** Kenneth H. Rosen.  //Discrete Mathematics and Its Applications//. MCGraw-Hill. [[http://highered.mheducation.com/sites/0073383090|Supplement material]] (including Errata-Corrige).
+  * **[LA]** “Linear Algebra: Theory, Intuition, Code” by Mike X Cohen, chapters: Vectors; Vector multiplication; Matrices; Matrix multiplication; Rank; Determinant; Matrix inverse; Eigendecomposition
+  * **[MV]** Any book on multivariable calculus
   * **[P]** Pieter Spronck. //The Coder’s Apprentice: Learning Programming with Python 3//, 2017. [[http://www.spronck.net/pythonbook|Book and supplement material]].
-  * **[C]** Brian W. Kernighan, Dennis M. Ritchie. //C Programming Language//. Second Edition, Prentice Hall, 1988.
-  * **[A]** David A. Patterson,‎ John L. Hennessy. //Computer Organization and Design//. Fifth Edition, The Morgan Kaufmann Series in Computer Architecture and Design, 2014. [[http://apa.di.unipi.it/pds/video/MKComputerOrganizationAndDesign-1stChapter.pdf|MKComputerOrganizationAndDesign-1stChapter.pdf]]
-  * **[O-it]** Paolo Ancilotti, Maurelio Boari, Anna Ciampolini, Giuseppe Lipari. //Sistemi Operativi//. McGraw-Hill, 2008
-  * **[O-en]** Abraham Silberschatz, Peter B. Galvin, Greg Gagne. Operating System Concepts, 9th Edition International Student Version, 2013
 =====Software=====
   * **Python programming:** [[https://www.continuum.io/downloads|Anaconda distribution of Python 3]]. Computers at lab rooms include it both on Linux and Windows OS.
-  * **C programming (Linux):** either [[https://wiki.gnome.org/Apps/Gedit|gedit]] (or equivalent text editor) and [[https://gcc.gnu.org/|gcc]]. If you do not have gcc on your machine, check next item. Gedit and gcc are available on computers at lab room (Linux only).
+   * **Unix Shell** Either use Linux on lab machines, or install [[https://www.cygwin.com/|CygWin]] (on your PC).
-  * **C programming (Windows)** Either DevC++ (already installed on LabMachines) or install [[https://www.cygwin.com/|CygWin]] (not on lab machines -- on your PC) or install a Virtual Machine  (such us [[https://www.virtualbox.org/|VirtualBox]]) running any Linux distribution.
+  * **Python online** including visualization of memory state [[http://pythontutor.com/|PythonTutor]].
-  * **Editor for C files on Windows** Either use the DevC++ editor, or use [[https://notepad-plus-plus.org/download/v7.5.2.html|Notepad++ ]].
-  * **Unix Shell** Either use Linux on lab machines, or install [[https://www.cygwin.com/|CygWin]] (on your PC).
-  * **Python/C online** including visualization of memory state [[http://pythontutor.com/|PythonTutor]].
   * **Jupyter Notebooks** shown during theory classes [[https://github.com/GiulioRossetti/PDS_notebooks|GitHub]]
-=====Preliminary program and calendar=====
-  * [[https://esami.unipi.it/esami2/programma.php?c=39741&aa=2018|Overview of the course]].
-  * [[https://didattica.di.unipi.it/laurea-magistrale-in-data-science-and-business-informatics/calendario-lezioni-ed-esami-aa-2020-2021/|General calendar of lessons]].
-=====Exams (rules valid also for COVID-19 emergency)=====
-Exams is made out of two parts:
-  - Written part: solve programming exercises in both Python and C (45 minutes). If sufficient, this will give you access to the Oral part of the exam.
-  - Oral part: discussion on both the Written part and on **ALL** of the topics covered during the course.
-Registration to exams is mandatory: [[https://esami.unipi.it/esami2/|register here]]
+=====Previous years=====
-Virtual room for the Written part is the same as the one used for classes. Always check [[https://esami.unipi.it/esami2/|here]] for specific information on specific sessions.
-<html>
-<span style="color:red"> IMPORTANT: </span></html> **To be able to solve the C exercises during the exam, you need to use either the Linux partition or DevC++ installed in the Windows partition of the computers' lab**. Please, read **carefully** the instructions in the Software section above.
-^  Day  ^  Hour  ^  Room  ^  Type  ^
-**Sample exam texts: [[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_1.pdf|1]], [[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_2.pdf|2]], [[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_3.pdf|3]], [[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_4.pdf|4]],[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_5.pdf|5]],[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_6.pdf|6]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_7.pdf|7]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_8.pdf|8]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_9.pdf|9]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_10.pdf|10]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_11.pdf|11]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_12.pdf|12]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_13.pdf|13]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_14.pdf|14]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_15.pdf|15]],
-[[http://apa.di.unipi.it/pds/esercizi/Tests/PDS_Test_16.pdf|16]], **
-=====Class calendar=====
-Recordings of lessons are available, and are password protected. Ask the teachers for credentials.
-^ ^ Day ^ Room ^ Topic ^ Learning material ^ Recordings ^  Instructor ^
-=====Previous years=====
+  * Programming for Data Science A.Y. 2022/23: on Teams
+  *  Programming for Data Science A.Y. 2021/22: on Teams
+  * Programming for Data Science A.Y. 2020/21: on Teams
   * [[mds:pds:2019|Programming for Data Science A.Y. 2019/20]]
-  * [[mds:pds:2018|Programming for Data Science A.Y. 2018/19]]
+  * [[mds:pds:2018|Programming for Data Science A.Y. 2018/19]] Recordings of lessons are available, and are password protected. Ask the teachers for credentials.
+  * A.Y. 2020/21 the course will use Classroom/Meet as streaming platform and material repository: [[https://classroom.google.com/c/MTU5MjgxMjM2MzU5?cjc=y3qj2ft]]
+=====Exams=====
+  * {{ :mds:pds:appello_pds-2024_2feb.pdf |February, 2, 2024}}, with  {{ :mds:pds:appello_pds-2024_2feb.docx.pdf |solutions}}
+  * {{ :mds:pds:appello_pds-2023_01_11_24.pdf |January 11, 2024}}, with {{ :mds:pds:appello_pds-2023_01_11_24_solutions.docx.pdf |solutions}}
+  * {{ :mds:pds:appello_str_pds-2023_10_31.pdf |October 10, 2023}}, with {{ :mds:pds:appello_str_pds-2023_10_31_withsolutions.pdf |solutions}}
+  * {{ :mds:pds:appello6_4settembre_pds-2023.pdf |September 4, 2023}}
+  * {{ :mds:pds:appello5_11luglio_pds-2023.pdf |July 11, 2023}}
+  * {{ :mds:pds:2023_june.pdf |June 20, 2023}}
+  * {{ :mds:pds:2023_may.pdf |May 30, 2023}}