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mds:smd:start [07/04/2021 alle 10:03 (3 anni fa)]
Salvatore Ruggieri [Class calendar]
mds:smd:start [04/11/2022 alle 12:18 (17 mesi fa)] (versione attuale)
Salvatore Ruggieri
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-<html> +====== Statistical Methods for Data Science A.Y2020/21 ======
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-ga('personalTracker.linker:autoLink', ['pages.di.unipi.it''enforce.di.unipi.it', 'didawiki.di.unipi.it'] ); +  * **[[mds:sds: |Statistics for Data Science (628PP)]]**
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-====== Statistical Methods for Data Science A.Y. 2020/21 ====== 
  
 =====Instructor===== =====Instructor=====
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 =====Classes===== =====Classes=====
- 
-**Dates are preliminary.** 
  
 ^  Day of Week  ^  Hour  ^  Room  ^  ^  Day of Week  ^  Hour  ^  Room  ^ 
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   * The project replaces the written exam but **students have to [[https://esami.unipi.it/esami2/|register for the written dates]] in order to fill the student's questionnaire**.   * The project replaces the written exam but **students have to [[https://esami.unipi.it/esami2/|register for the written dates]] in order to fill the student's questionnaire**.
   * Groups ready to discuss send the project to the teacher plus availability time slots for oral discussion.   * Groups ready to discuss send the project to the teacher plus availability time slots for oral discussion.
-  * {{ :mds:smd:smd.project.2021.pdf | Project presentation slides}} and [[http://apa.di.unipi.it/smd/video/smd_project_2021.mp4|project info audio-video (.mp4)]].+  * {{ :mds:smd:smd.project.2021.pdf | Project presentation slides}} and [[http://patterns.di.unipi.it/sds/video/smd_project_2021.mp4|project info audio-video (.mp4)]].
 =====Written exam===== =====Written exam=====
  
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 Registration to exams is mandatory (**beware of the registration deadline!**): [[https://esami.unipi.it/esami2/|register here]]\\ Registration to exams is mandatory (**beware of the registration deadline!**): [[https://esami.unipi.it/esami2/|register here]]\\
  
-^  Date  ^  Hour  ^  Room  ^  Notes  ^ 
-|  15/04/2021  |  16:00 - 18:00  |  Online exam  | [[https://didattica.di.unipi.it/en/appelli-straordinari/|Restrictions apply]] | 
  
 =====Class calendar===== =====Class calendar=====
  
 ^ ^ Date ^ Room ^ Topic ^ Learning material ^  ^ ^ Date ^ Room ^ Topic ^ Learning material ^ 
-|01| 16.02 16:00-18:00 | Teams | Introduction. Probability and independence. [[http://apa.di.unipi.it/smd/video/smd01_20210216.mp4|rec01 audio-video (.mp4)]]| **[T]** Chpts. 1-3 {{:mds:smd:smd01.pdf|slides01 (.pdf)}}|  +|01| 16.02 16:00-18:00 | Teams | Introduction. Probability and independence. [[http://patterns.di.unipi.it/sds/video/smd01_20210216.mp4|rec01 audio-video (.mp4)]]| **[T]** Chpts. 1-3 {{:mds:smd:smd01.pdf|slides01 (.pdf)}}|  
-|02| 23.02 16:00-18:00 | Teams | R basics. [[http://apa.di.unipi.it/smd/video/smd02_20210223.mp4|rec02 audio-video (.mp4)]]| **[R]** Chpts. 1,2.1,2.2 {{:mds:smd:smd02.pdf|slides02 (.pdf)}},  {{:mds:smd:smd02.r|script02 (.R)}}|  +|02| 23.02 16:00-18:00 | Teams | R basics. [[http://patterns.di.unipi.it/sds/video/smd02_20210223.mp4|rec02 audio-video (.mp4)]]| **[R]** Chpts. 1,2.1,2.2 {{:mds:smd:smd02.pdf|slides02 (.pdf)}},  {{:mds:smd:smd02.r|script02 (.R)}}|  
-|03| 24.02 9:00-11:00 | Teams | Discrete random variables. [[http://apa.di.unipi.it/smd/video/smd03_20210224.mp4|rec03 audio-video (.mp4)]]| **[T]** Chpt. 4 **[R]** Chpt. 3 {{:mds:smd:smd03.pdf|slides03 (.pdf)}},  {{:mds:smd:smd03.r|script03 (.R)}}|  +|03| 24.02 9:00-11:00 | Teams | Discrete random variables. [[http://patterns.di.unipi.it/sds/video/smd03_20210224.mp4|rec03 audio-video (.mp4)]]| **[T]** Chpt. 4 **[R]** Chpt. 3 {{:mds:smd:smd03.pdf|slides03 (.pdf)}},  {{:mds:smd:smd03.r|script03 (.R)}}|  
-|04| 02.03 16:00-18:00 | Teams | Recalls: derivatives and integrals. [[http://apa.di.unipi.it/smd/video/smd04_20210302.mp4|rec04 audio-video (.mp4)]]| **[P]** Chpt. 1-8 {{:mds:smd:smd04.pdf|slides04 (.pdf)}},  {{:mds:smd:smd04.r|script04 (.R)}}| +|04| 02.03 16:00-18:00 | Teams | Recalls: derivatives and integrals. [[http://patterns.di.unipi.it/sds/video/smd04_20210302.mp4|rec04 audio-video (.mp4)]]| **[P]** Chpt. 1-8 {{:mds:smd:smd04.pdf|slides04 (.pdf)}},  {{:mds:smd:smd04.r|script04 (.R)}}| 
-|05| 03.03 9:00-11:00 | Teams | Continuous random variables. Simulation. [[http://apa.di.unipi.it/smd/video/smd05_20210303.mp4|rec05 audio-video (.mp4)]]| **[T]** Chpts. 5, 6.1-6.2  **[R]** Chpt. 3 {{:mds:smd:smd05.pdf|slides05 (.pdf)}},  {{:mds:smd:smd05.r|script05 (.R)}}| +|05| 03.03 9:00-11:00 | Teams | Continuous random variables. Simulation. [[http://patterns.di.unipi.it/sds/video/smd05_20210303.mp4|rec05 audio-video (.mp4)]]| **[T]** Chpts. 5, 6.1-6.2  **[R]** Chpt. 3 {{:mds:smd:smd05.pdf|slides05 (.pdf)}},  {{:mds:smd:smd05.r|script05 (.R)}}| 
-|06| 09.03 16:00-18:00 | Teams | Expectation and variance. Computations with random variables. [[http://apa.di.unipi.it/smd/video/smd06_20210309.mp4|rec06 audio-video (.mp4)]]| **[T]** Chpts. 7,8 {{:mds:smd:smd06.pdf|slides06 (.pdf)}},  {{:mds:smd:smd06.r|script06 (.R)}}| +|06| 09.03 16:00-18:00 | Teams | Expectation and variance. Computations with random variables. [[http://patterns.di.unipi.it/sds/video/smd06_20210309.mp4|rec06 audio-video (.mp4)]]| **[T]** Chpts. 7,8 {{:mds:smd:smd06.pdf|slides06 (.pdf)}},  {{:mds:smd:smd06.r|script06 (.R)}}| 
-|07| 10.03 9:00-11:00 | Teams | R data access and programming. [[http://apa.di.unipi.it/smd/video/smd07_20210310.mp4|rec07 audio-video (.mp4)]]| **[R]** Chpt. 2.3,2.4 {{:mds:smd:smd07.zip|script07 (.zip)}} | +|07| 10.03 9:00-11:00 | Teams | R data access and programming. [[http://patterns.di.unipi.it/sds/video/smd07_20210310.mp4|rec07 audio-video (.mp4)]]| **[R]** Chpt. 2.3,2.4 {{:mds:smd:smd07.zip|script07 (.zip)}} | 
-|08| 16.03 16:00-18:00 | Teams | Power laws and Zipf laws. [[http://apa.di.unipi.it/smd/video/smd08_20210316.mp4|rec08 audio-video (.mp4)]]| [[https://arxiv.org/pdf/cond-mat/0412004.pdf | Newman's paper]] Sect I, II, III(A,B,E,F) {{:mds:smd:smd08.pdf|slides08 (.pdf)}}, {{:mds:smd:smd08.zip|script08 (.zip)}} | +|08| 16.03 16:00-18:00 | Teams | Power laws and Zipf laws. [[http://patterns.di.unipi.it/sds/video/smd08_20210316.mp4|rec08 audio-video (.mp4)]]| [[https://arxiv.org/pdf/cond-mat/0412004.pdf | Newman's paper]] Sect I, II, III(A,B,E,F) {{:mds:smd:smd08.pdf|slides08 (.pdf)}}, {{:mds:smd:smd08.zip|script08 (.zip)}} | 
-|09| 17.03 9:00-11:00 | Teams | Moments, joint distributions, sum of random variables. [[http://apa.di.unipi.it/smd/video/smd09_20210317.mp4|rec09 audio-video (.mp4)]]| **[T]** Chpts. 9-11 {{:mds:smd:smd09.pdf|slides09 (.pdf)}}, {{:mds:smd:smd09.zip|script09 (.zip)}} | +|09| 17.03 9:00-11:00 | Teams | Moments, joint distributions, sum of random variables. [[http://patterns.di.unipi.it/sds/video/smd09_20210317.mp4|rec09 audio-video (.mp4)]]| **[T]** Chpts. 9-11 {{:mds:smd:smd09.pdf|slides09 (.pdf)}}, {{:mds:smd:smd09.zip|script09 (.zip)}} | 
-|10| 23.03 16:00-18:00 | Teams | Law of large numbers. The central limit theorem. [[http://apa.di.unipi.it/smd/video/smd10_20210323.mp4|rec10 audio-video (.mp4)]]| **[T]** Chpts. 13-14 {{:mds:smd:smd10.pdf|slides10 (.pdf)}}, {{:mds:smd:smd10.r|script10 (.R)}}| +|10| 23.03 16:00-18:00 | Teams | Law of large numbers. The central limit theorem. [[http://patterns.di.unipi.it/sds/video/smd10_20210323.mp4|rec10 audio-video (.mp4)]]| **[T]** Chpts. 13-14 {{:mds:smd:smd10.pdf|slides10 (.pdf)}}, {{:mds:smd:smd10.r|script10 (.R)}}| 
-|11| 24.03 9:00-11:00 | Teams | Project presentation. Graphical summaries. [[http://apa.di.unipi.it/smd/video/smd11_20210324.mp4|rec11 audio-video (.mp4)]]| **[T]** Chpt. 15 {{:mds:smd:smd11.pdf|slides11 (.pdf)}}, {{:mds:smd:smd11.r|script11 (.R)}}| +|11| 24.03 9:00-11:00 | Teams | Project presentation. Graphical summaries. [[http://patterns.di.unipi.it/sds/video/smd11_20210324.mp4|rec11 audio-video (.mp4)]]| **[T]** Chpt. 15 {{:mds:smd:smd11.pdf|slides11 (.pdf)}}, {{:mds:smd:smd11.r|script11 (.R)}}| 
-|12| 30.03 16:00-18:00 | Teams | Numerical summaries. Data preprocessing in R. [[http://apa.di.unipi.it/smd/video/smd12_20210330.mp4|rec12 audio-video (.mp4)]]| **[T]** Chpt. 16, **[R]** Chpts. 4,10 {{:mds:smd:smd12.pdf|slides12 (.pdf)}}, {{:mds:smd:smd12.r|script12 (.R)}}, {{ :mds:smd:dataprep.r | dataprep.R}} +|12| 30.03 16:00-18:00 | Teams | Numerical summaries. Data preprocessing in R. [[http://patterns.di.unipi.it/sds/video/smd12_20210330.mp4|rec12 audio-video (.mp4)]]| **[T]** Chpt. 16, **[R]** Chpts. 4,10 {{:mds:smd:smd12.pdf|slides12 (.pdf)}}, {{:mds:smd:smd12.r|script12 (.R)}}, {{ :mds:smd:dataprep.r | dataprep.R}} | 
-|<del>XX</del>| <del>31.03 9:00-11:00</del> | | No lesson on this date. Students work on the project on their own.    |  +|13| 7.04 9:00-11:00 | Teams | Unbiased estimators. Efficiency and MSE. [[http://patterns.di.unipi.it/sds/video/smd13_20210407.mp4|rec13 audio-video (.mp4)]]| **[T]** Chpts. 17.1-17.3, 19, 20  {{:mds:smd:smd13.pdf|slides13 (.pdf)}}, {{:mds:smd:smd13.r|script13 (.R)}} | 
-|13| 7.04 9:00-11:00 | Teams | Unbiased estimators. Efficiency and MSE. [[http://apa.di.unipi.it/smd/video/smd13_20210407.mp4|rec13 audio-video (.mp4)]]| **[T]** Chpts. 17.1-17.3, 19, 20  {{:mds:smd:smd13.pdf|slides13 (.pdf)}}, {{:mds:smd:smd13.r|script13 (.R)}} | +|14| 13.04 16:00-18:00 | Teams | Maximum likelihood estimation. [[http://patterns.di.unipi.it/sds/video/smd14_20210413.mp4|rec14 audio-video (.mp4)]]| **[T]** Chpt. 21 {{ :mds:smd:notes1.pdf |}}  {{:mds:smd:smd14.pdf|slides14 (.pdf)}}, {{:mds:smd:smd14.r|script14 (.R)}} | 
-|14| 13.04 16:00-18:00 | Teams | Maximum likelihood estimation.   | **[T]** Chpt. 21 {{ :mds:smd:notes1.pdf |}}  {{:mds:smd:smd14.pdf|slides14 (.pdf)}}, {{:mds:smd:smd14.r|script14 (.R)}} | +|15| 14.04 9:00-11:00 | Teams | Linear regressionLeast squares estimation[[http://patterns.di.unipi.it/sds/video/smd15_20210414.mp4|rec15 audio-video (.mp4)]]| **[T]** Chpts17.4,22 **[R]** Chpts. 6 {{ :mds:smd:notes2.pdf |}}  {{:mds:smd:smd15.pdf|slides15 (.pdf)}}, {{:mds:smd:smd15.r|script15 (.R)}} 
-|15| 14.04 9:00-11:00 | Teams | ...    | ... | +|16| 20.04 16:00-18:00 | Teams | Multiple, non-linear, and logistic regression[[http://patterns.di.unipi.it/sds/video/smd16_20210420.mp4|rec16 audio-video (.mp4)]]| **[R]** Chpt12.1,13,16.1-16.2 {{ :mds:smd:notes2.pdf |}} {{:mds:smd:smd16.pdf|slides16 (.pdf)}}, {{:mds:smd:smd16.zip|script16 (.zip)}} | 
-|16| 20.04 16:00-18:00 | Teams | ...    | ... |+|17| 21.04 9:00-11:00 | Teams | Logistic regression (ctd). Introduction to confidence intervals. [[http://patterns.di.unipi.it/sds/video/smd17_20210421.mp4|rec17 audio-video (.mp4)]]| **[T]** Chpts. 23.1 {{:mds:smd:smd17.pdf|slides17 (.pdf)}}, {{:mds:smd:smd17.r|script17 (.R)}} | 
 +|18| 27.04 16:00-18:00 | Teams | Confidence intervals: Gaussian, T-student, large sample method. Confidence intervals in linear regression. [[http://patterns.di.unipi.it/sds/video/smd18_20210427.mp4|rec18 audio-video (.mp4)]]| **[T]** Chpts. 23.2,23.4, 4.3,24.4 {{ :mds:smd:notes2.pdf |}} | 
 +|19| 28.04 9:00-11:00 | Teams | Empirical bootstrap. Application to confidence intervals. [[http://patterns.di.unipi.it/sds/video/smd19_20210428.mp4|rec19 audio-video (.mp4)]]| **[T]** Chpts. 18.1,18.2,23.3 {{:mds:smd:smd19.pdf|slides19 (.pdf)}}, {{:mds:smd:smd19.r|script19 (.R)}} | 
 +|20| 04.05 16:00-18:00 | Teams | Parametric bootstrap. Hypotheses testing. [[http://patterns.di.unipi.it/sds/video/smd20_20210504.mp4|rec20 audio-video (.mp4)]]| **[T]** Chpts. 18.3,25 {{:mds:smd:smd20.pdf|slides20 (.pdf)}}, {{:mds:smd:smd20.r|script20 (.R)}} | 
 +|21| 05.05 9:00-11:00 | Teams | One-sample tests of the mean and application to linear regression.[[http://patterns.di.unipi.it/sds/video/smd21_20210505.mp4|rec21 audio-video (.mp4)]]| **[T]** Chpts. 26-27, **[R]** Chpts. 5.1,5.2 {{:mds:smd:smd21.pdf|slides21 (.pdf)}}, {{ :mds:smd:notes2.pdf |}}, {{:mds:smd:smd21.r|script21 (.R)}} | 
 +|22| 11.05 16:00-18:00 | Teams | Multiple comparisons. Fitting distributions.[[http://patterns.di.unipi.it/sds/video/smd22_20210511.mp4|rec22 audio-video (.mp4)]]| {{ :mds:smd:ks.pdf | K-S}}, {{:mds:smd:smd22.pdf|slides22 (.pdf)}}, {{:mds:smd:smd22.r|script22 (.R)}} | 
 +|23| 12.05 9:00-11:00 | Teams | Two-sample tests of the mean, and F-test.[[http://patterns.di.unipi.it/sds/video/smd23_20210512.mp4|rec23 audio-video (.mp4)]]| **[T]** Chpts. 28, **[R]** Chpts. 5.3-5.7 {{:mds:smd:smd23.pdf|slides23 (.pdf)}}, {{:mds:smd:smd23.r|script23 (.R)}} | 
 +|24| 18.05 16:00-18:00 | Teams | Testing correlation/independence. Multiple-sample tests of the mean.[[http://patterns.di.unipi.it/sds/video/smd24_20210518.mp4|rec24 audio-video (.mp4)]]| **[R]** Chpts. 7, 8 {{:mds:smd:smd24.pdf|slides24 (.pdf)}}, {{:mds:smd:smd24.r|script24 (.R)}} | 
 +|--| 19.05 9:00-11:00 | Teams | Office hours and project tutoring. |  |
  
  
  
-=====Last year class calendar===== 
- 
-^ ^ Date ^ Room ^ Topic ^ Learning material ^  
-|16| 22.04 9:00-11:00 | Distance-learning | Simple linear and polynomial regression. Least squares. [[http://apa.di.unipi.it/smd/video/rec12_20200422.flv|rec12 audio-video (.flv)]] | **[T]** Chpts. 17.4,22 **[R]** Chpts. 6,12.1 {{ :mds:smd:2019smdr14.r | script14.R}} | 
-|17| 28.04 16:00-18:00 | Distance-learning | Multiple, non-linear, and logistic regression. [[http://apa.di.unipi.it/smd/video/rec13_20200428.flv|rec13 audio-video (.flv)]] | **[R]** Chpt. 13,16.1-16.2 {{ :mds:smd:notes2.pdf |}} {{ :mds:smd:2019smdr15.r | script15.R}} | 
-|18| 29.04 9:00-11:00 | Distance-learning | Confidence intervals: Gaussian, T-student, large sample method. [[http://apa.di.unipi.it/smd/video/rec14_20200429.flv|rec14 audio-video (.flv)]] | **[T]** Chpts. 23.1,23.2,23.4, 24.3,24.4 {{ :mds:smd:2019smdr16.r | script16.R}} | 
-|19| 05.05 16:00-18:00 | Distance-learning | Confidence intervals in linear regression. Empirical bootstrap. Application to confidence intervals. [[http://apa.di.unipi.it/smd/video/rec15_20200505.flv|rec15 audio-video (.flv)]] | **[T]** Chpts. 18.1,18.2,23.3 {{ :mds:smd:notes2.pdf |}} {{ :mds:smd:2019smdr17.r | script17.R}} | 
-|20| 06.05 9:00-11:00 | Distance-learning | Parametric bootstrap. Hypotheses testing. [[http://apa.di.unipi.it/smd/video/rec16_20200506.flv|rec16 audio-video (.flv)]] | **[T]** Chpts. 18.3,25 {{ :mds:smd:2019smdr18.r | script18.R}} | 
-|21| 12.05 16:00-18:00 | Distance-learning | One-sample t-test and application to linear regression. [[http://apa.di.unipi.it/smd/video/rec17_20200512.flv|rec17 audio-video (.flv)]] | **[T]** Chpts. 26-27, **[R]** Chpts. 5.1,5.2 {{ :mds:smd:notes2.pdf |}} {{ :mds:smd:2019smdr19.r | script19.R}} | 
-|22| 13.05 9:00-11:00 | Distance-learning | Goodness of fit: chi-square, K-S. Fitting power laws. [[http://apa.di.unipi.it/smd/video/rec18_20200513.flv|rec18 audio-video (.flv)]] | {{ :mds:smd:ks.pdf | K-S}} {{ :mds:smd:2019smdr20.r | script20.R}} | 
-|23| 20.05 9:00-11:00 | Distance-learning| Hypotheses testing: F-test, comparing two samples. [[http://apa.di.unipi.it/smd/video/rec19_20200520.flv|rec19 audio-video (.flv)]] | **[T]** Chpts. 28, **[R]** Chpts. 5.3-5.7 {{ :mds:smd:2019smdr21.r | script21.R}} | 
-|24| 27.05 9:00-11:00 | Distance-learning | Project tutoring. [[http://apa.di.unipi.it/smd/video/rec20_20200527.flv|rec20 audio-video (.flv)]] |    | 
- 
- 
-=====Previous years===== 
  
-  * [[mds:smd:2020|Statistical Methods for Data Science A.Y. 2019/20]] 
-  * [[mds:smd:2019|Statistical Methods for Data Science A.Y. 2018/19]] 
-  * [[mds:smd:2018|Statistical Methods for Data Science A.Y. 2017/18]] 
-  * [[mds:smd:2017|Statistical Methods for Data Science A.Y. 2016/17]] 
  
  
mds/smd/start.1617789798.txt.gz · Ultima modifica: 07/04/2021 alle 10:03 (3 anni fa) da Salvatore Ruggieri