DidaWiki

Strumenti Utente

Strumenti Sito

Ti trovi qui: DidaWiki » mds » Statistical Methods for Data Science A.Y. 2020/21 » 2018
mds:smd:2018

Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

Link a questa pagina di confronto

Entrambe le parti precedenti la revisione Revisione precedente
mds:smd:2018 [04/12/2021 alle 17:57 (2 anni fa)]
Salvatore Ruggieri eliminata 		— (versione attuale)
Linea 1: Linea 1:
-<html> 
-<!-- Google Analytics --> 
-<script type="text/javascript" charset="utf-8"> 
-(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ 
-(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), 
-m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) 
-})(window,document,'script','//www.google-analytics.com/analytics.js','ga'); 
- 
-ga('create', 'UA-34685760-1', 'auto', 'personalTracker', {'allowLinker': true}); 
-ga('personalTracker.require', 'linker'); 
-ga('personalTracker.linker:autoLink', ['pages.di.unipi.it', 'enforce.di.unipi.it', 'didawiki.di.unipi.it'] ); 
-   
-ga('personalTracker.require', 'displayfeatures'); 
-ga('personalTracker.send', 'pageview', 'ruggieri/teaching/smd/'); 
-setTimeout("ga('send','event','adjusted bounce rate','30 seconds')",30000);  
-</script> 
-<!-- End Google Analytics --> 
-<!-- Global site tag (gtag.js) - Google Analytics --> 
-<script async src="https://www.googletagmanager.com/gtag/js?id=G-LPWY0VLB5W"></script> 
-<script> 
-  window.dataLayer = window.dataLayer || []; 
-  function gtag(){dataLayer.push(arguments);} 
-  gtag('js', new Date()); 
- 
-  gtag('config', 'G-LPWY0VLB5W'); 
-</script> 
-<!-- Capture clicks --> 
-<script> 
-jQuery(document).ready(function(){ 
-  jQuery('a[href$=".pdf"]').click(function() { 
-    var fname = this.href.split('/').pop(); 
-    ga('personalTracker.send', 'event',  'SMD', 'PDFs', fname); 
-  }); 
-  jQuery('a[href$=".r"]').click(function() { 
-    var fname = this.href.split('/').pop(); 
-    ga('personalTracker.send', 'event',  'SMD', 'Rs', fname); 
-  }); 
-  jQuery('a[href$=".zip"]').click(function() { 
-    var fname = this.href.split('/').pop(); 
-    ga('personalTracker.send', 'event',  'SMD', 'ZIPs', fname); 
-  }); 
-}); 
-</script> 
-</html> 
-====== Statistical Methods for Data Science A.Y. 2017/18 ====== 
- 
-=====Instructors===== 
- 
-  * **Daniele Tantari** 
-    * Scuola Normale Superiore 
-    * [[https://www.sns.it/ugov/persone/daniele-tantari]] 
-    * [[daniele.tantari@sns.it]]    
-  * **Salvatore Ruggieri** 
-    * Università di Pisa 
-    * [[http://pages.di.unipi.it/ruggieri/]] 
-    * [[ruggieri@di.unipi.it]]    
- 
-=====Classes===== 
- 
-^  Day of Week  ^  Hour  ^  Room  ^  
-|  Monday |  16:00 - 18:00  |  Fib-L1  |  
-|  Tuesday |  9:00 - 11:00  |  Fib-N1  | 
- 
-=====Office hours===== 
- 
-  * Prof. Tantari: Tuesday h 11:00 - 15:00, Scuola Normale Superiore, room 93 (please send an email in advance) 
-  * Prof. Ruggieri: Tuesday h 14:00 - 17:00, Department of Computer Science, room 321/DO.  
- 
- 
- 
-=====Text Books===== 
- 
-The following are mandatory text books: 
- 
-  * **[B1]** F.M. Dekking C. Kraaikamp, H.P. Lopuha, L.E. Meester. **A Modern Introduction to Probability and Statistics**. Springer, 2005. 
-  * **[B2]** P. Dalgaard. **Introductory Statistics with R**. 2nd edition, Springer, 2008. 
- 
-The following is an optional text book for recalling mathematics pre-requisites of the course: 
- 
-  * **[B3]** J. Ward, J. Abdey. **Mathematics and Statistics**. University of London, 2013. Chapters 4-8 of Part 1 present basic calculus (derivatives and integrals). 
- 
-=====Software===== 
- 
-  * [[https://cran.r-project.org/|R]] 
-  * [[https://www.rstudio.com/|R Studio]] 
- 
-=====Preliminary program and calendar===== 
- 
-  * [[https://esami.unipi.it/esami2/programma.php?c=34467&aa=2017|Preliminary program]]. 
-  * [[https://www.di.unipi.it/en/education/mds/academic-calendar-2017-2018-wea|Calendar of lessons]]. 
- 
- 
-=====Project===== 
- 
-  * Project can be done in groups of at most 3 students. 
-  * Project final delivery dates: 11 June h 9, 2 July h 9, 23 July h 9 
-  * Oral dates: 12 June, 3 July, 24 July 
-  * Students doing the project will skip the written exam but **they have to [[https://esami.unipi.it/esami2/|register for the written dates]] in order to fill the student's questionnaire**. 
-  * [[https://www.sba.unipi.it/it/risorse/banche-dati/aida|AIDA database]] (**max 2** concurrent connections) 
-  * Ateco 2007 classification: [[https://www.istat.it/it/strumenti/definizioni-e-classificazioni/ateco-2007|.xls, note esplicative, volume integrale]] 
-  * {{ :mds:smd:project2018.pdf |Problem presentation and project questions}}. 
-  * {{ :mds:smd:smd_project_part1.r | Script for loading and transforming data}} **Updated 15/5/2018** 
- 
-=====Written exam===== 
- 
-Written exam consists of open questions and exercises. Example text: **{{ :mds:smd:smdsample.pdf | sample1}}**, **{{ :mds:smd:smdsample2.pdf | sample2}}**. The exam lasts 2 hours. No teaching material can be consulted during the exam.  
-[[https://esami.unipi.it/esami2/|Registration]] is mandatory. 
- 
-^  Date  ^  Hour  ^  Room  ^  
-|  22/1/2019  |  9:00 - 11:00  |  Fib-L1  |   
-|  12/2/2019  |  9:00 - 11:00  |  Fib-L1  |  
- 
-=====Class calendar (final) ===== 
- 
-^ ^ Day ^ Room ^ Topic ^ Learning material ^ Instructor ^ 
-|1.| 19.02 16:00-18:00 | L1 | Introduction. Probability and independence. | [B1] Chpts. 1-3 | Tantari | 
-|2.| 20.02 9:00-11:00 | N1 | R basics.    | [B2] Chpts. 1,2.1,2.4 {{ :mds:smd:r_intro.pdf | slides}} {{ :mds:smd:smdr1.r | script1.R}} | Ruggieri | 
-|3.| 27.02 9:00-11:00 | N1 | Discrete and continuous random variables.    | [B1] Chpts. 4-5 | Tantari  | 
-|4.| 06.03 9:00-11:00 | N1| Simulation. Expectation and variance  | [B1] Chpts. 6-7 {{ :mds:smd:gaussianANDrejection.pdf | noteSim}}| Tantari | 
-|5.| 12.03 16:00-18:00 | L1 | R basics and distributions.    | [B2] Chpts. 2.2,3-4  {{ :mds:smd:smdr2.r | script2.R}} | Ruggieri | 
-|6.| 13.03 9:00-11:00 | N1 | R programming and graphics.    | [B2] Chpts. 2.3,3-4 {{ :mds:smd:r_intro_exercise.r | exercise.R}} {{ :mds:smd:smdr3.r | script3.R}} |Ruggieri | 
-|7.| 19.03 16:00-18:00 | L1 | Computations with random variables. Covariance    | [B1] Chpts. 8-10 | Tantari | 
-|8.| 20.03 9:00-11:00 | N1 | Sum of random variables. Law of large numbers    | [B1] Chpts. 11,13 | Tantari | 
-|9.| 26.03 16:00-18:00 | L1 | The central limit theorem. Graphical summaries    | [B1] Chpts. 14,15 | Tantari | 
-|10.| 27.03 9:00-11:00 | N1 | Numerical summaries. Poisson process    |[B1] Chpts. 12,16 {{ :mds:smd:commands.r | Rcode}} {{ :mds:smd:slidesPowerlaw.pdf | slides}}|Tantari  | 
-|11.| 16.04 16:00-18:00 | L1 | Examples on CLT. Data preprocessing.    | [B2] Chpt. 10[[http://scg.sdsu.edu/dataset-adult_r/ | dataprep.r]]  {{ :mds:smd:smdr4.r | script4.R}} | Ruggieri | 
-|12.| 17.04 9:00-11:00 | N1 |Unbiased estimators. Efficiency and MSE   |[B1] Chpts. 17,19, 20  |Tantari  | 
-|13.| 23.04 16:00-18:00 | L1  | Maximum likelihood.    |[B1] Chpt. 21  |Tantari | 
-|14.| 24.04 9:00-11:00 | N1  |Fisher Information. Linear Regressions and Least Squares. |[B1] Chpt. 22 {{ :mds:smd:fisher.pdf | fisher}}|Tantari  | 
-|15.| 30.04 16:00-18:00 | L1 | Examples on and MSE. Power-laws | [[https://arxiv.org/pdf/cond-mat/0412004.pdf | Newman's paper]], {{ :mds:smd:roc_adult.r |roc_adult.R}}{{ :mds:smd:smdr5.r | script5.R}}  | Ruggieri  | 
-|16.| 02.05 14:00-16:00 | A1 | Project and data presentation  |   | Tantari+Ruggieri | 
-|17.| 07.05 16:00-18:00 | L1 | Confidence Intervals: Gaussian, T-student, large sample method. |[B1] Chpt. 23,24 |Tantari  |  
-|18.| 08.05 9:00-11:00 | N1  | Empirical and parametric bootstrap. Application to confidence intervals.     | [B1] Chpts. 18,23 |Tantari | 
-|19.| 14.05 16:00-18:00 | L1 | Hypotheses testing.    |[B1] Chpts. 25-26 | Tantari | 
-|20.| 15.05 9:00-11:00 | N1 | Hypotheses testing. Bootstrap. Project tutoring.  | [B2] Chpt. 5.1, {{ :mds:smd:smdr6.r | script6.R}}  | Ruggieri | 
-|21.| 21.05 16:00-18:00 | L1 | Hypotheses testing. t-test and application to linear regressions  |[B1] Chpts. 27| Tantari | 
-|22.| 22.05 9:00-11:00 | N1 |Hypotheses testing: correlation and Fisher transformation, comparing samples   |[B1] Chpt. 28 {{ :mds:smd:correlation.pdf | CorrNotes}} | Tantari | 
-|23.| 28.05 16:00-18:00 | L1 |Hypotheses testing: F-test, K-S, chi-square   | {{ :mds:smd:ks.pdf | K-S}}  | Tantari | 
-|24.| 29.05 9:00-11:00 | N1 | Hypotheses testing, parameter estimation. | [B2] Chpts. 5.2-5.7, 6, {{ :mds:smd:smdr7.r | script7.R}}  | Ruggieri | 
- 
-=====Previous years===== 
- 
-  * [[mds:smd:2017|Statistical Methods for Data Science A.Y. 2016/17]] 
- 
  
mds/smd/2018.1638640656.txt.gz · Ultima modifica: 04/12/2021 alle 17:57 (2 anni fa) da Salvatore Ruggieri

Strumenti Pagina

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki