Dipartimento di InformaticaUniversità degli Studi di Milano

Statistics and data analysis2015/16

BSc in Computer science · BSc in Digital communication · BSc in Computer science and music · University of Milan · Lectures are in Italian · 6 credits · 60 hours

Archived edition: this page is kept for reference, and some materials or links may no longer be available. Current edition (2026-27) →

The course aims at introducing the fundamentals of descriptive statistics, probability and parametric inferential statistics.

Expected results

Students will be able to carry out basic explorative analyses and inferences on datasets, they will know the main probability distributions and will be able to understand statistical analyses conducted by others; moreover, they will know simple methods for the problem of binary classification, and will be able to evaluate their performances. The students will also acquire the fundamental competences for studying more sophisticated techniques for data analysis and data modeling.

News

  1. Results of the Statistics and data analysis written test of September, 15th 2016 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 15/9 are invited to check their e-mail: they will find a message showing their result. The oral tests will take place in the Computer science department on Thursday Sep. 22nd at 9:30 in aula Omega.

  2. Place and time of the Statistics and data analysis written test of September 15th, 2016

    The Statistics and data analysis written test of 15/9 will take place in Via Comelico in aula Sigma starting from 9:00.

  3. Schedule change for the Statistics and data analysis exam session of September

    The Statistics and data analysis written test of September session is resheduled from 21/09 to 15/09.

Earlier news (18)
  1. Results of the Statistics and data analysis written test of July, 6th 2016 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 6/7 are invited to check their e-mail: they will find a message showing their result. The oral tests will take place in the Computer science department on Wednesday Jul. 13th at 9:30 in aula 5.

  2. Place and time of the Statistics and data analysis written test of July 6th, 2016

    The Statistics and data analysis written test of 6/7 will take place in Via Comelico in aula Sigma starting from 9:00.

  3. Results of the Statistics and data analysis written test of June, 10th 2016 and oral test calendar

    The results of written test of 10/6 are available. The oral tests will take place in sala lauree of the Computer science department on Wednessday Jun. 15th at 10:00.

  4. Office hours canceled

    Starting Monday 06/13, regular office hour are canceled until next semester; students can arrange an appointment via e-mail.

  5. Place and time of the Statistics and data analysis written test of June 10th, 2016

    The Statistics and data analysis written test of 10/6 will take place in Via Comelico in aula Delta starting from 9:00.

  6. Office hours canceled for two weeks

    Office hours in the next two weeks are canceled; students can contact the teacher via e-mail.

  7. Results of the Statistics and data analysis written test of February, 17th 2016 and oral test calendar

    The results of written test of 17/2, not yet sent due to a failure of the university information system, are available. The oral tests will take place in the Computer science department on Friday Feb. 26th at 9:30 in aule Omega and on Monday Feb. 29th in aula 4.

  8. Results of the Statistics and data analysis written test of February, 17th 2016 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 17/2 are invited to check their e-mail: they will find a message showing their result. The oral tests will take place in the Computer science department on Friday Feb. 26th at 9:30 in aule Omega and on Monday Feb. 29th in aula 4.

  9. Office hours of February 22nd canceled

    The office hours of February 22nd are canceled; students can arrange an appointment via e-mail.

  10. Place and time of the Statistics and data analysis written test of February 17th, 2016

    The Statistics and data analysis written test of 17/2 will take place in Via Comelico in aula Sigma and aula Tau starting from 13:00.

  11. Results of the Statistics and data analysis written test of January, 26th 2016 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 26/1 are invited to check their e-mail: they will find a message showing their result. The oral tests will take place in the Computer science department on Tuesday Feb. 2nd at 9:30 in sala Lauree (CPSM) and on Wednesday Feb. 3rd in aula 5 (Statistics and data analysis).

  12. Place and time of the Statistics and data analysis written test of January 26th, 2016

    The Statistics and data analysis written test of 26/2 will take place in Via Comelico: in aula Sigma starting from 9:00 (students of this year) and in aula Alfa starting from 9:30 (students of previous years).

  13. Schedule change for the Statistics and data analysis course

    The canceled class will be made up on 20/01 at 10:30 in aula MG in via Mangiagalli 32.

  14. Schedule change for the Statistics and data analysis class of Jan 12

    Class of Tuesday Jan 12 is postponed to Wednesday Jan 13.

  15. Suspension of the Statistics and data analysis lab

    The Statistics and data analysis lab of December, 9th is canceled.

  16. Lab lectures for the Statistics and data analysis course

    Additional lectures of the lab of statistics and data analysis will take place in aula 309 between 8:30 and 10:30, starting from October, 20th, each Tuesday (for Computer science for digital communication and for Computer science and music students) and each Wednesday (for Computer science students).

  17. Suspension of the Statistics and data analysis lesson

    The Statistics and data analysis class of October, 7th is canceled.

  18. Office hours for the fall semester

    Office hours for the fall semester will be during Monday on 14:30 in the teacher's office, starting from 5/10.

Course schedule

Lectures will take place at the educational sector of Città studi, according to the following provisional schedule:

Day Hour Place
Tuesday 10:30 - 12:30 G08
Wednesday 10:30 - 12:30 G24

Any change to the schedule will be announced in class and published in paragraph News of this page. The class videos for the edition of Prof. Zanaboni are available at http://vc.di.unimi.it, using the University mail login credentials. There will be an additional lab lectures each Tuesday (for Computer science for digital communication and for Computer science and music students) and each Wednesday (for Computer science students) between 8:30 and 10:30 in aula 309.

Office hours

By appointment, room 5015 of the Computer Science Department. It is possible contact the teacher by e-mail, taking care to read in advance the guide prepared by Prof. Sebastiano Vigna and clearly specifying in the message the course name and the academic year. In particular, students are encouraged to always use their academic address (i.e. based on the domain studenti.unimi.it) signing with name and student ID number and recalling that the response time may vary depending on the teacher commitments.

Course material

The parts on descriptive statistics are taken from the first three chapters of the textbook Ross, Introductory statistics, Academic press, 2010, ISBN 9780123743886 (marked by PS in the lectures calendar).

The remaining part course is mainly based on the following textbook: Ross, S., Introduction to Probability and Statistics for Engineers and Scientists, Academic press, 2014, ISBN 978-0-12-394811-3 (marked by RPS in the lectures calendar).

Syllabus

The course explains the topics listed in the lecture calendar.

Lectures calendar

Lecture Date Topic Material
L01 29/09/2015 Course introduction
  • RS 1
L02 30/09/2015 Exploratory analysis of univariate data: frequency diagrams, pie charts, histograms, sample mean
L03 06/10/2015 Exploratory analysis of univariate data: properties of the sample mean, median and mode, variance
  • RS 3.2-3.5
L04 13/10/2015 Exploratory analysis of univariate data: variance, standard deviation, percentiles, box-plots, other dispersion indices, symmetry of the frequence distribution, approximately normal distributions
  • RS 3.3.1, 3.5-3.6
L05 14/10/2015 Exploratory analysis of univariate and bivariate data: Gini coefficient, entropy, contingency tables, marginal frequency, scatter plots and correlation coefficient
L06 20/10/2015 Exploratory analysis of bivariate data: correlation coefficient
  • RS 3.7
L07 21/10/2015 Combinatorics. ROC curves
  • RP 3.5
L08 27/10/2015 Probability: probability space, events, probability function, axioms, elementary theorems
  • RP 3.1–3.4
L09 28/10/2015 Probability: equiprobable sample space, conditional probability
  • RP 3.5–3.6
L10 03/11/2015 Probability: law of total probability, Bayes' theorem
  • RP 3.7
L11 04/11/2015 Independence of events
  • RP 3.8
L12 10/11/2015 Probability: discrete random variables, functions of random variable, expected value
  • RP 4.1-4.2, 4.4-4.5
L13 11/11/2015 Probability: variance, bidimensional discrete random variables, independence of random variables
  • RP 4.3, 4.5, 4.6
L14 17/11/2015 Probability: expected value and variance
  • RP 4.4–4.6
L15 18/11/2015 Probability: variance, Markov and Chebyshev inequalities, Bernoulli distribution
  • RP 4.6–4.9, 5.1
L16 24/11/2015 Probability: binomial and uniform distribuzions
  • RP 5.1
L17 25/11/2015 Probability: geometric and Poisson distributions
  • RP 5.2
L18 01/12/2015 Probability: hypergeometric, continuous uniform and exponential distribution
  • RP 5.3, 5.4, 5.6
L19 02/12/2015 Probability: Gaussian distribution
  • RP 5.5
L20 09/12/2015 Inferential statistics: random sample, point estimation, sample mean, central limit theorem
  • RP 6.1–6.3
L21 15/12/2015 Inferential statistics: application of central limit theorem, sample variance, calculation of sample size
  • RP 6.3.1, 6.4, 6.5, 6.5.1
L22 16/12/2015 Inferential statistics: exercises
    L23 22/12/2015 Inferential statistics: mean squared error, unbiased estimator, consistent estimator
      L24 20/01/2016 Exercises

      Exam modalities

      The exam consists in a written test, including problems to be solved through basics of the R language, followed by an oral test.

      Exam sessions

      Session Date
      January 26/01/2016
      February 17/02/2016
      June 10/06/2016
      July 06/07/2016
      September 15/09/2016
      January 25/01/2017