Dipartimento di InformaticaUniversità degli Studi di Milano
Dario Malchiodi

Statistics and data analysis2017/18

BSc in Computer science · 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. Correction of written tests of Statistics and data analysis

    At 10:30 of Thursday, 04/10 in aula 305 there will be a public correction of the written tests of 20/09.

  2. Results of the Statistics and data analysis written test of September, 20th 2018 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 20/9 should receive within tomorrow an e-mail message showing their result. The oral tests will take place in aula G27 in via Golgi on 27/9 at 9:30 and on 28/9 at 14:30). The date of correction of the written test will be communicated later on.

  3. Place and time of the Statistics and data analysis written test of September 20th, 2018

    The Statistics and data analysis written test of 20/9 will take place in via Celoria in aula 307 (Zanaboni) and aula 309 (Malchiodi), starting from 14:30.

Earlier news (20)

  1. 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 14/09 to 20/09.

  2. Correction of written tests of Statistics and data analysis

    At 10:30 of Monday, 23/07 in the sala lauree of Via Comelico there will be a public correction of the written tests of 2/7.

  3. Results of the Statistics and data analysis written test of July, 2nd 2018 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 2/7 should receive within tomorrow an e-mail message showing their result. The oral tests will take place in via Comelico on 12/7 (aula 5, 9:30), 13/7 (aula 6, 9:30 and 14:30), 16/7 (aula 6, 14:30), and 17/7 (aula 4, 9:30).

  4. Place and time of the Statistics and data analysis written test of July 2nd, 2018

    The Statistics and data analysis written test of 2/7 will take place in via Comelico 39 in aula tau, starting from 14:30.

  5. Correction of written tests of Statistics and data analysis

    At 10:30 of Thursday, 28/06 in the sala riunioni on the first floor of Via Comelico there will be a public correction of the written tests of 13/6.

  6. Results of the Statistics and data analysis written test of June, 13th 2018 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 13/6 should receive within tomorrow an e-mail message showing their result. The oral tests will take place on 25/6 (students F1X) and on 27/6 (other students) in aula 6 in via Comelico at 10:30.

  7. Place and time of the Statistics and data analysis written test of June 13th, 2018

    The Statistics and data analysis written test of 13/6 will take place in via Comelico 39 in aula sigma, starting from 9:30.

  8. Office hours canceled

    Starting wednesday 03/14, regular office hour are canceled; students can arrange an appointment via e-mail.

  9. Vision of written tests of Statistics and data analysis

    At 9:30 of Monday, 26/02 in the sala riunioni on the second floor of Via Comelico it will be possible to view the written tests of 7/2.

  10. Results of the Statistics and data analysis written test of February, 7th 2018 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 7/2 should receive within tomorrow an e-mail message showing their result. The oral tests will take place on 23/2 in aula 6 in via Comelico at 9:30.

  11. Place and time of the Statistics and data analysis written test of February 7th, 2018

    The Statistics and data analysis written test of 7/2 will take place in via Celoria 20 in aula 307, starting from 9:30.

  12. Vision of written tests of Statistics and data analysis

    At 9:30 of Tuesday, 06/02 in the sala riunioni on the second floor of Via Comelico it will be possible to view the written tests of 24/1.

  13. Results of the Statistics and data analysis written test of January, 24th 2018 and oral test calendar

    Students enrolled in the Statistics and data analysis test of 24/1 should receive within tomorrow an e-mail message showing their result. The oral tests will take place in via Comelico on 31/1 (9:30-18:30), 1/2 (15:30-18:30), 2/2 (9:30-12:30), and 5/2 (9:30-12:30)

  14. Place and time of the Statistics and data analysis written test of January 24th, 2018

    The Statistics and data analysis written test of 24/1 will take place in via Comelico 39 in aula Sigma, starting from 9:30.

  15. Schedule change for the Statistics and data analysis course

    The last class of Statistics and data analysis is moved from Dec 18th to Jan 8th.

  16. Lab lectures for the Statistics and data analysis course

    Additional lectures of the laboratory of Statistics and data analysis will start from Friday, october 20th.

  17. Programming language for the Statistics and data analysis course

    Computer science students who are not enrolled in the second year will have the choice between R and python as language to be used during the written test. Among those students, who has already followed a R laboratory or have already studied R, it is advisable to stay on R; instead, students not yet haviing studied any language for data analysis are advised to start directly with python. For the students of the other degrees, the R language remains the only option.

  18. Use of the interactive lecture notes

    The lecture notes are available also in interactive form.

  19. Laboratory of the statistics and data analysis class

    The starting date of lab lectures will be communicated later on.

  20. Office hours of Jan 9th canceled

    The office hour of Jan 9th are canceled; students can arrange an appointment via e-mail.

Course schedule

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

Day Hour Place
Monday 10:30 - 12:30 V3
Tuesday 9:30 - 12:30 V3

Any change to the schedule will be announced in class and published in paragraph News of this page. There will be additional, non-compulsory, lab lectures each Friday, starting mid-october. The starting date will be communicated later on.

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).

Some lecture notes for topics not covered by the textbooks are available.

Syllabus

The course explains the topics listed in the lecture calendar.

Lectures calendar

Lecture Date Topic Material
L01 26/09/2017 Introduction to python.
L02 02/10/2017 Introduction to statistics. Centrality indices.
  • RS 1, 3.1–3.4
L03 03/10/2017 Sample variance. Pandas.
L04 09/10/2017 Scatter plots and sample correlation coefficient.
L05 10/10/2017 Pareto charts; joined and marginal frequences; quantiles, box plots and QQ plots.
L06 16/10/2017 Heterogeneity indices. Decision trees. Concentration indices.
L07 17/10/2017 ROC curves. Data transformations. Analysis of variance.
L08 23/10/2017 Combinatorics. Bases of set theory.
  • RP 3.5
L09 24/10/2017 Probability: axioms and elementary theorems. Equiprobable spaces. Conditional probability.
  • RP 3.1-3.6
L10 30/10/2017 Law of total probability and Bayes' theorem.
  • RP 3.7
L11 31/10/2017 Naive Bayes classifiers. Independence of events.
L12 06/11/2017 Discrete random variables.
  • RP 4.1-4.2
L13 07/11/2017 Expected value. Variance.
  • RP 4.4-4.6
L14 13/11/2017 Multivariate random variables. Independence of random variables.
  • RP 4.3
L15 14/11/2017 Covariance and correlation between random variables. Continuous random variables. Markov inequality.
  • RP 4.2, 4.6, 4.7, 4.9
L16 20/11/2017 Bernoulli and binomial distributions.
  • RP 5.1
L17 21/11/2017 Discrete uniform and geometric distributions.
L18 27/11/2017 Poisson distribution.
  • RP 5.3
L19 28/11/2017 Hypergeometric, continuous uniform and exponential distributions.
  • RP 5.3, 5.4, 5.6
L20 04/12/2017 Gaussian distribution.
    L21 05/12/2017 Random sample and point estimation. Sample mean. Central limit theorem.
    • RP 6.1–6.3
    L22 11/12/2017 Unbiased estimator. Mean squared error and consistent estimator.
    • RP 6.3.1–6.5.1
    L23 12/12/2017 Application of the central limit theorem: sample variance and computation of sample size. Poisson process.
    • RP 7.7, 5.6.1
    L24 08/01/2018 Exercises

    Exam modalities

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

    Exam sessions

    Session Date
    January 24/01/2018
    February 07/02/2018
    June 13/06/2018
    July 02/07/2018
    September 14/09/2018 20/09/2018
    January 16/01/2019