| Entrambe le parti precedenti la revisioneRevisione precedenteProssima revisione | Revisione precedente |
| mds:sds:tmp [16/01/2026 alle 19:54 (15 ore fa)] – Salvatore Ruggieri | mds:sds:tmp [16/01/2026 alle 20:39 (14 ore fa)] (versione attuale) – [Exams] Salvatore Ruggieri |
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| =====Preliminary program and calendar===== | =====Preliminary program and calendar===== |
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| * [https://unipi.coursecatalogue.cineca.it/corsi/2025/11357/insegnamenti/2025/53385_703139_77399/2025/53385_9386?schemaid=9386|Preliminary program]]. | * [[https://unipi.coursecatalogue.cineca.it/corsi/2025/11357/insegnamenti/2025/53385_703139_77399/2025/53385_9386?schemaid=9386|Preliminary program]]. |
| * [[https://didattica.di.unipi.it/en/master-programme-in-data-science-and-business-informatics/academic-calendar-2025-2026/|Calendar of lessons]]. | * [[https://didattica.di.unipi.it/en/master-programme-in-data-science-and-business-informatics/academic-calendar-2025-2026/|Calendar of lessons]]. |
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| ^ Date ^ Hour ^ Room ^ Notes ^ | ^ Date ^ Hour ^ Room ^ Notes ^ |
| | | 29/1/2026 | 11:00 - 13:00 | FIB-C1 | | |
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| The lectures will be only in presence and will **NOT** be live-streamed. Recordings from previous years are available for non‑attending students (see the past years section below); however, these materials may not fully correspond to the content taught in the current academic year. | The lectures will be only in presence and will **NOT** be live-streamed. Recordings from previous years are available for non‑attending students (see the past years section below); however, these materials may not fully correspond to the content taught in the current academic year. |
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| Material of future lessons refer to the last academic year. Slides and R scripts might be updated **after the classes** to align with actual content of current year and to correct typos. //Be sure to download the updated versions.// | Calendar and material of future lessons refer to the last academic year. Schedule, slides and R scripts might be updated **after the classes** to align with actual content of current year and to correct typos. //Be sure to download the updated versions.// |
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| ^ # ^ Date ^ Room ^ Topic ^ Mandatory teaching material ^ | ^ # ^ Date ^ Room ^ Topic ^ Mandatory teaching material ^ |
| |01| 17/02 11-13 | Fib-E | Introduction. Probability and independence. [[http://131.114.72.230/sds/video/sds01_20220215.mp4|rec01 (.mp4)]] | **[T]** Chpts. 1-3 {{:mds:sds:s4ds01.pdf|slides01 (.pdf)}}| | |01| 17/02 14-16 | Fib-C | Introduction. Probability and independence. | **[T]** Chpts. 1-3 {{:mds:sds:s4ds01.pdf|slides01 (.pdf)}}| |
| |02| 17/02 14-16 | Fib-C | R basics. [[http://131.114.72.230/sds/video/sds02_20220217.mp4|rec02 (.mp4)]] | **[R]** Chpts. 1,2.1-2.3 {{:mds:sds:s4ds02.pdf|slides02 (.pdf)}}, {{:mds:sds:s4ds02.r|script02 (.R)}}| | |02| 18/02 9-11 | Fib-C1 | R basics. | **[R]** Chpts. 1,2.1-2.3 {{:mds:sds:s4ds02.pdf|slides02 (.pdf)}}, {{:mds:sds:s4ds02.r|script02 (.R)}}| |
| |03| 20/02 11-13 | Fib-A1 | Bayes' rule and applications. [[http://131.114.72.230/sds/video/sds03_20220218.mp4|rec03 (.mp4)]] | **[T]** Chpt. 3 {{:mds:sds:s4ds03.pdf|slides03 (.pdf)}}, {{:mds:sds:s4ds03.r|script03 (.R)}}| | |03| 20/02 9-11 | Fib-C1 | Bayes' rule and applications. | **[T]** Chpt. 3 {{:mds:sds:s4ds03.pdf|slides03 (.pdf)}}, {{:mds:sds:s4ds03.r|script03 (.R)}}| |
| |04| 24/02 14-16 | Fib-C | Discrete random variables. [[http://131.114.72.230/sds/video/sds04_20220222.mp4|rec04 (.mp4)]] | **[T]** Chpts. 4, 9.1, 9.2, 9.4 **[R]** Chpt. 3 {{:mds:sds:s4ds04.pdf|slides04 (.pdf)}}, {{:mds:sds:s4ds04.r|script04 (.R)}}| | |04| 24/02 14-16 | Fib-C | Discrete random variables. | **[T]** Chpts. 4, 9.1, 9.2, 9.4 **[R]** Chpt. 3 {{:mds:sds:s4ds04.pdf|slides04 (.pdf)}}, {{:mds:sds:s4ds04.r|script04 (.R)}}| |
| |05| 25/02 14-16 | Fib-A1 | Discrete random variables (continued). [[http://131.114.72.230/sds/video/sds05_20220224.mp4|rec05 (.mp4)]] | | | |05| 25/02 9-11 | Fib-C1 | Discrete random variables (continued). | | |
| |06| 27/02 11-13 | Fib-A1 | Recalls: derivatives and integrals. [[http://131.114.72.230/sds/video/sds06_20220225.mp4|rec06 (.mp4)]] | **[P]** Chpt. 1-8 {{:mds:sds:s4ds06.pdf|slides06 (.pdf)}}, {{:mds:sds:s4ds06.r|script06 (.R)}}| | |06| 27/02 9-11 | Fib-C1 | Recalls: derivatives and integrals. | **[P]** Chpt. 1-8 {{:mds:sds:s4ds06.pdf|slides06 (.pdf)}}, {{:mds:sds:s4ds06.r|script06 (.R)}}| |
| |07| 03/03 14-16 | Fib-C | R data access and programming. [[http://131.114.72.230/sds/video/sds07_20220301.mp4|rec07 (.mp4)]] | **[R]** Chpt. 2.3,2.4 {{:mds:sds:s4ds07.zip|script07 (.zip)}} | | |07| 03/03 14-16 | Fib-C | R data access and programming. | **[R]** Chpt. 2.3,2.4 {{:mds:sds:s4ds07.zip|script07 (.zip)}} | |
| |08| 04/03 14-16 | Fib-A1 | Continuous random variables.[[http://131.114.72.230/sds/video/sds08_20220303.mp4|rec08 (.mp4)]] | **[T]** Chpts. 5, 9.2-9.4 **[R]** Chpt. 3 {{:mds:sds:s4ds08.pdf|slides08 (.pdf)}}, {{:mds:sds:s4ds08.r|script08 (.R)}}| | |08| 04/03 9-11 | Fib-C1 | Continuous random variables. | **[T]** Chpts. 5, 9.2-9.4 **[R]** Chpt. 3 {{:mds:sds:s4ds08.pdf|slides08 (.pdf)}}, {{:mds:sds:s4ds08.r|script08 (.R)}}| |
| |09| 06/03 11-13 | Fib-A1 | Expectation and variance. Computations with random variables.[[http://131.114.72.230/sds/video/sds09_20220304v2.mp4|rec09 (.mp4)]] | **[T]** Chpts. 7,8 {{:mds:sds:s4ds09.pdf|slides09 (.pdf)}}, {{:mds:sds:s4ds09.r|script09 (.R)}}| | |09| 06/03 9-11 | Fib-C1 | Expectation and variance. Computations with random variables. | **[T]** Chpts. 7,8 {{:mds:sds:s4ds09.pdf|slides09 (.pdf)}}, {{:mds:sds:s4ds09.r|script09 (.R)}}| |
| |10| 10/03 14-16 | Fib-C | Expectation and variance. Computations with random variables (continued). Moments. Functions of random variables. [[http://131.114.72.230/sds/video/sds10_20220308v3.mp4|rec10 (.mp4)]] | **[T]** Chpts. 9-11 {{:mds:sds:s4ds10.pdf|slides10 (.pdf)}}, {{:mds:sds:s4ds10.zip|script10 (.zip)}} | | |10| 10/03 14-16 | Fib-C | Expectation and variance. Computations with random variables (continued). Moments. Functions of random variables. | **[T]** Chpts. 9-11 {{:mds:sds:s4ds10.pdf|slides10 (.pdf)}}, {{:mds:sds:s4ds10.zip|script10 (.zip)}} | |
| |11| 11/03 14-16 | Fib-A1 | Functions of random variables (continued). Distances between distributions. [[http://131.114.72.230/sds/video/sds11_20240314.mp4|rec11 (.mp4)]] | {{:mds:sds:murphychpt6.pdf|Murphy's book}} Chpt. 6 {{:mds:sds:s4ds11.pdf|slides11 (.pdf)}}, {{:mds:sds:s4ds11.R|script11 (.R)}} | | |11| 11/03 9-11 | Fib-C1 | Functions of random variables (continued). Distances between distributions. | {{:mds:sds:murphychpt6.pdf|Murphy's book}} Chpt. 6 {{:mds:sds:s4ds11.pdf|slides11 (.pdf)}}, {{:mds:sds:s4ds11.R|script11 (.R)}} | |
| |12| 13/03 11-13 | Fib-A1 | Simulation. [[http://131.114.72.230/sds/video/sds12_20220311v2.mp4|rec12 (.mp4)]] | **[T]** Chpts. 6.1-6.2 {{:mds:sds:s4ds12.pdf|slides12 (.pdf)}}, {{:mds:sds:s4ds12.r|script12 (.R)}} {{:mds:sds:s4ds12_sol07.r|script12_sol07 (.R)}}| | |12| 13/03 9-11 | Fib-C1 | Simulation. | **[T]** Chpts. 6.1-6.2 {{:mds:sds:s4ds12.pdf|slides12 (.pdf)}}, {{:mds:sds:s4ds12.r|script12 (.R)}} {{:mds:sds:s4ds12_sol07.r|script12_sol07 (.R)}}| |
| |13| 17/03 14-16 | Fib-C | Power laws and Zipf's law. [[http://131.114.72.230/sds/video/sds13_20220315.mp4|rec13 (.mp4)]] | [[https://arxiv.org/pdf/cond-mat/0412004.pdf | Newman's paper]] Sect I, II, III(A,B,E,F) {{:mds:sds:s4ds13.pdf|slides13 (.pdf)}}, {{:mds:sds:s4ds13.r|script13 (.R)}}| | |13| 17/03 14-16 | Fib-C | Power laws and Zipf's law. | [[https://arxiv.org/pdf/cond-mat/0412004.pdf | Newman's paper]] Sect I, II, III(A,B,E,F) {{:mds:sds:s4ds13.pdf|slides13 (.pdf)}}, {{:mds:sds:s4ds13.r|script13 (.R)}}| |
| |14| 18/03 14-16 | Fib-A1 | Law of large numbers. The central limit theorem. [[http://131.114.72.230/sds/video/sds14_20220317.mp4|rec14 (.mp4)]] | **[T]** Chpts. 13-14 {{:mds:sds:s4ds14.pdf|slides14 (.pdf)}}, {{:mds:sds:s4ds14.R|script14 (.R)}} | | |14| 18/03 9-11 | Fib-C1 | Law of large numbers. The central limit theorem. | **[T]** Chpts. 13-14 {{:mds:sds:s4ds14.pdf|slides14 (.pdf)}}, {{:mds:sds:s4ds14.R|script14 (.R)}} | |
| |15| 20/03 11-13 | Fib-A1 | Graphical summaries. Kernel Density Estimation. [[http://131.114.72.230/sds/video/sds15_20220322.mp4|rec15 (.mp4)]] | **[T]** Chpt. 15, **[R]** Chpt. 4 {{:mds:sds:s4ds15.pdf|slides15 (.pdf)}}, {{:mds:sds:s4ds15.r|script15 (.R)}}| | |15| 20/03 9-11 | Fib-C1 | Graphical summaries. Kernel Density Estimation. | **[T]** Chpt. 15, **[R]** Chpt. 4 {{:mds:sds:s4ds15.pdf|slides15 (.pdf)}}, {{:mds:sds:s4ds15.r|script15 (.R)}}| |
| |16| 24/03 14-16 | Fib-C | Numerical summaries.[[http://131.114.72.230/sds/video/sds16_20220324.mp4|rec16 (.mp4)]] | **[T]** Chpt. 16, **[R]** Chpt. 4 {{:mds:sds:s4ds16.pdf|slides16 (.pdf)}}, {{:mds:sds:s4ds16.r|script16 (.R)}} | | |16| 24/03 14-16 | Fib-C | Numerical summaries. | **[T]** Chpt. 16, **[R]** Chpt. 4 {{:mds:sds:s4ds16.pdf|slides16 (.pdf)}}, {{:mds:sds:s4ds16.r|script16 (.R)}} | |
| |17| 25/03 14-16 | Fib-A1 |Data preprocessing in R. Estimators.[[http://131.114.72.230/sds/video/sds17_20220325.mp4|rec17 (.mp4)]] | **[R]** Chpt. 10, **[T]** Chpts. 17.1-17.3{{:mds:sds:s4ds17.r|script17 (.R)}}, {{ :mds:sds:dataprep.r | dataprep.R}} | | |17| 25/03 9-11 | Fib-C1 |Data preprocessing in R. Estimators.| **[R]** Chpt. 10, **[T]** Chpts. 17.1-17.3{{:mds:sds:s4ds17.r|script17 (.R)}}, {{ :mds:sds:dataprep.r | dataprep.R}} | |
| |18| 27/03 11-13 | Fib-A1 | Unbiased estimators. Efficiency and MSE.[[http://131.114.72.230/sds/video/sds18_20220329.mp4|rec18 (.mp4)]] | **[T]** Chpts. 19, 20 {{:mds:sds:s4ds18.pdf|slides18 (.pdf)}}, {{:mds:sds:s4ds18.r|script18 (.R)}} | | |18| 27/03 9-11 | Fib-C1 | Unbiased estimators. Efficiency and MSE. | **[T]** Chpts. 19, 20 {{:mds:sds:s4ds18.pdf|slides18 (.pdf)}}, {{:mds:sds:s4ds18.r|script18 (.R)}} | |
| |19| 31/03 14-16 | Fib-C | Maximum likelihood estimation.[[http://131.114.72.230/sds/video/sds19_20220331.mp4|rec19 (.mp4)]] | **[T]** Chpt. 21 {{ :mds:sds:s4dsln.pdf |}} Chpt. 1 {{:mds:sds:s4ds19.pdf|slides19 (.pdf)}}, {{:mds:sds:s4ds19.r|script19 (.R)}} | | |19| 31/03 14-16 | Fib-C | Maximum likelihood estimation. | **[T]** Chpt. 21 {{ :mds:sds:s4dsln.pdf |}} Chpt. 1 {{:mds:sds:s4ds19.pdf|slides19 (.pdf)}}, {{:mds:sds:s4ds19.r|script19 (.R)}} | |
| |20| 01/04 14-16 | Fib-A1 | Linear regression. Least squares estimation.[[http://131.114.72.230/sds/video/sds20_20220405.mp4|rec20 (.mp4)]] | **[T]** Chpts. 17.4,22 **[R]** Chpt. 6 {{ :mds:sds:s4dsln.pdf |}} Chpt. 2 {{:mds:sds:s4ds20.pdf|slides20 (.pdf)}}, {{:mds:sds:s4ds20.r|script20 (.R)}} | | |20| 01/04 9-11 | Fib-C1 | Linear regression. Least squares estimation. | **[T]** Chpts. 17.4,22 **[R]** Chpt. 6 {{ :mds:sds:s4dsln.pdf |}} Chpt. 2 {{:mds:sds:s4ds20.pdf|slides20 (.pdf)}}, {{:mds:sds:s4ds20.r|script20 (.R)}} | |
| |21| 03/04 11-13 | Fib-A1 | Non-linear, and multiple linear regression.[[http://131.114.72.230/sds/video/sds21_20220407_edited.mp4|rec21 (.mp4)]] | **[R]** Chpt. 12.1,13,16.1-16.2 {{ :mds:sds:s4dsln.pdf |}} Chpt. 2 {{:mds:sds:s4ds21.pdf|slides21 (.pdf)}}, {{:mds:sds:s4ds21.R|script21 (.R)}} | | |21| 08/04 9-11 | Fib-C1 | Non-linear, and multiple linear regression. | **[R]** Chpt. 12.1,13,16.1-16.2 {{ :mds:sds:s4dsln.pdf |}} Chpt. 2 {{:mds:sds:s4ds21.pdf|slides21 (.pdf)}}, {{:mds:sds:s4ds21.R|script21 (.R)}} | |
| |22| 07/04 14-16 | Fib-C | Issues with linear regression. Logistic regression.[[http://131.114.72.230/sds/video/sds22_20220408_edited.mp4|rec22 (.mp4)]] | **[R]** Chpt. 12.1,13,16.1-16.2 {{:mds:sds:s4ds22.pdf|slides22 (.pdf)}}, {{:mds:sds:s4ds22.zip|script22 (.zip)}} | | |22| 10/04 9-11 | Fib-C1 | Issues with linear regression. Logistic regression. | **[R]** Chpt. 12.1,13,16.1-16.2 {{:mds:sds:s4ds22.pdf|slides22 (.pdf)}}, {{:mds:sds:s4ds22.zip|script22 (.zip)}} | |
| |23| 08/04 14-16 | Fib-A1 | Statistical decision theory.[[http://131.114.72.230/sds/video/sds23_20220412.mp4|rec23 (.mp4)]] | {{ :mds:sds:s4dsln.pdf |}} Chpt. 4 {{:mds:sds:s4ds23.pdf|slides23 (.pdf)}}, {{:mds:sds:s4ds23.r|script23 (.R)}} | | |23| 14/04 14-16 | Fib-C | Statistical decision theory. | {{ :mds:sds:s4dsln.pdf |}} Chpt. 4 {{:mds:sds:s4ds23.pdf|slides23 (.pdf)}}, {{:mds:sds:s4ds23.r|script23 (.R)}} | |
| |24| 10/04 11-13 | Fib-A1 | Statistical decision theory (continued).[[http://131.114.72.230/sds/video/sds24_20220421.mp4|rec24 (.mp4)]] | | | |24| 15/04 9-11 | Fib-C1 | Statistical decision theory (continued). | | |
| |25| 14/04 14-16 | Fib-C | Statistical decision theory (continued). Project presentation. | | | |25| 17/04 9-11 | Fib-C1 | Statistical decision theory (continued). Project presentation. | | |
| |26| 15/04 14-16 | Fib-A1 | Confidence intervals: mean, proportion, linear regression.[[http://131.114.72.230/sds/video/sds26_20220422.mp4|rec26 (.mp4)]] | **[T]** Chpts. 23.1,23.2,23.4,24.3,24.4 {{ :mds:sds:s4dsln.pdf |}} Chpt. 3 {{:mds:sds:s4ds26.pdf|slides26 (.pdf)}}, {{:mds:sds:s4ds26.r|script26 (.R)}} | | |26| 21/04 14-16 | Fib-C | Confidence intervals: mean, proportion, linear regression. | **[T]** Chpts. 23.1,23.2,23.4,24.3,24.4 {{ :mds:sds:s4dsln.pdf |}} Chpt. 3 {{:mds:sds:s4ds26.pdf|slides26 (.pdf)}}, {{:mds:sds:s4ds26.r|script26 (.R)}} | |
| |27| 17/04 11-13 | Fib-A1 | Confidence intervals (continued). Bootstrap and resampling methods.[[http://131.114.72.230/sds/video/sds27_20220426.mp4|rec27 (.mp4)]] | **[T]** Chpts. 18.1-18.3,23.3 {{:mds:sds:s4ds27.pdf|slides27 (.pdf)}}, {{:mds:sds:s4ds27.r|script27 (.R)}} | | |27| 22/04 9-11 | Fib-C1 | Confidence intervals (continued). Bootstrap and resampling methods. | **[T]** Chpts. 18.1-18.3,23.3 {{:mds:sds:s4ds27.pdf|slides27 (.pdf)}}, {{:mds:sds:s4ds27.r|script27 (.R)}} | |
| |28| 24/04 11-13 | Fib-A1 | Bootstrap and resampling methods (continued).[[http://131.114.72.230/sds/video/sds28_20220428.mp4|rec28 (.mp4)]] | | | |28| 24/04 9-11 | Fib-C1 | Bootstrap and resampling methods (continued). | | |
| |29| 28/04 14-16 | Fib-C | Hypotheses testing. One-sample tests of the mean and application to linear regression.[[http://131.114.72.230/sds/video/sds29_20220429.mp4|rec29 (.mp4)]] | **[T]** Chpts. 25,26,27, **[R]** Chpts. 5.1,5.2 {{ :mds:sds:s4dsln.pdf |}} Chpt.3.3 {{:mds:sds:s4ds29.pdf|slides29 (.pdf)}}, {{:mds:sds:s4ds29.r|script29 (.R)}} | | |29| 28/04 14-16 | Fib-C | Hypotheses testing. One-sample tests of the mean and application to linear regression. | **[T]** Chpts. 25,26,27, **[R]** Chpts. 5.1,5.2 {{ :mds:sds:s4dsln.pdf |}} Chpt.3.3 {{:mds:sds:s4ds29.pdf|slides29 (.pdf)}}, {{:mds:sds:s4ds29.r|script29 (.R)}} | |
| |30| 29/04 14-16 | Fib-A1 | One-sample tests of the mean and application to linear regression (continued). Classifier performance metrics in R. [[http://131.114.72.230/sds/video/sds30_2022mix.mp4|rec30 (.mp4)]] | {{:mds:sds:s4ds30.pdf|slides30 (.pdf)}}, {{:mds:sds:s4ds30.r|script30 (.R)}} | | |30| 29/04 9-11 | Fib-C1 | One-sample tests of the mean and application to linear regression (continued). Classifier performance metrics in R. | {{:mds:sds:s4ds30.pdf|slides30 (.pdf)}}, {{:mds:sds:s4ds30.r|script30 (.R)}} | |
| |31| 05/05 14-16 | Fib-C | Two-sample tests of the mean and applications to classifier comparison. [[http://131.114.72.230/sds/video/sds31_2022mix.mp4|rec31 (.mp4)]] | **[T]** Chpt. 28, **[R]** Chpts. 5.3-5.7 {{:mds:sds:s4ds31.pdf|slides31 (.pdf)}}, {{:mds:sds:s4ds31.r|script31 (.R)}} | | |31| 05/05 14-16 | Fib-C | Two-sample tests of the mean and applications to classifier comparison. | **[T]** Chpt. 28, **[R]** Chpts. 5.3-5.7 {{:mds:sds:s4ds31.pdf|slides31 (.pdf)}}, {{:mds:sds:s4ds31.r|script31 (.R)}} | |
| |32| 06/05 14-16 | Fib-A1 | Multiple-sample tests of the mean and applications to classifier comparison.[[http://131.114.72.230/sds/video/sds32_2022mix.mp4|rec32 (.mp4)]] | **[R]** Chpt. 7 {{:mds:sds:s4ds32.pdf|slides32 (.pdf)}}, {{:mds:sds:s4ds32.r|script32 (.R)}} | | |32| 06/05 9-11 | Fib-C1 | Multiple-sample tests of the mean and applications to classifier comparison. | **[R]** Chpt. 7 {{:mds:sds:s4ds32.pdf|slides32 (.pdf)}}, {{:mds:sds:s4ds32.r|script32 (.R)}} | |
| |33| 08/05 11-13 | Fib-A1 | Fitting distributions. Testing independence/association.[[http://131.114.72.230/sds/video/sds33_2022mix.mp4|rec33 (.mp4)]] | **[R]** Chpt. 8 {{ :mds:smd:ks.pdf | K-S}}, {{:mds:sds:s4ds33.pdf|slides33 (.pdf)}}, {{:mds:sds:s4ds33.r|script33 (.R)}} | | |33| 08/05 9-11 | Fib-C1 | Fitting distributions. Testing independence/association. | **[R]** Chpt. 8 {{ :mds:smd:ks.pdf | K-S}}, {{:mds:sds:s4ds33.pdf|slides33 (.pdf)}}, {{:mds:sds:s4ds33.r|script33 (.R)}} | |
| |s03| 12/05 14-16| Fib-C | //Mandatory seminar:// Introduction to causal modeling and reasoning. Speakers: I. Beretta and M. Cinquini. [[http://131.114.72.230/sds/video/sds_s03_20240507.mp4|rec_s03 (.mp4)]] | {{:mds:sds:s4ds_s03.pdf|slides_s03 (.pdf)}}| | |34| 12/05 14-16 | Fib-C | Fitting distributions. Testing independence/association (continued). | | |
| |34| 13/05 14-16 | Fib-A1 | Fitting distributions. Testing independence/association (continued). Project Q&A. | | | |35| 13/05 9-11| Fib-C1 | //Mandatory seminar:// TBD | | |
| |35| 15/05 11-13 | Fib-A1 | Project Q&A. | | | |36| 15/05 9-11 | Fib-C1 | Project Q&A. | | |
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| | Lessons not held (due to strikes or other unforeseen circumstances) will be rescheduled on the following dates: 19, 20, 22, 26, 27, and 29 May. |
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| |
| =====Seminars of past years===== | |
| |
| In some years, speakers were invited to give a seminar on advanced topics. Here it is a list of seminars held in past years. | |
| |
| ^ # ^ Date ^ Topic ^ Teaching material ^ | |
| |s01| 04/05/2022 | Bias in statistics and causal reasoning. Speaker: prof. Fabrizia Mealli [[http://131.114.72.230/sds/video/sds_s01_20220504.mp4|rec_s01 (.mp4)]] | {{:mds:sds:s4ds_s01.pdf|slides_s01 (.pdf)}} [[https://statistics.fas.harvard.edu/files/statistics-2/files/statistical_paradises_and_paradoxes.pdf|Optional reading]] | | |
| |s02| 04/05/2022 | Bias in statistics and causal reasoning (continued). Speaker: prof. Fabrizia Mealli [[http://131.114.72.230/sds/video/sds_s02_20220504.mp4|rec_s02 (.mp4)]] | | | |
| |s03| 07/05/2024 and 12/05/2025 | Introduction to causal modeling and reasoning. Speakers: I. Beretta and M. Cinquini. [[http://131.114.72.230/sds/video/sds_s03_20240507.mp4|rec_s03 (.mp4)]] | {{:mds:sds:s4ds_s03.pdf|slides_s03 (.pdf)}}| | |
| |
| =====Past years===== | =====Past years===== |
| |
| | * [[mds:sds:2024|Statistics for Data Science A.Y. 2024/25]] |
| * [[mds:sds:2023|Statistics for Data Science A.Y. 2023/24]] | * [[mds:sds:2023|Statistics for Data Science A.Y. 2023/24]] |
| * [[mds:sds:2022|Statistics for Data Science A.Y. 2022/23]] | |
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