Dipartimento di InformaticaUniversità degli Studi di Milano

Statistics and data analytics2016/17

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 2017 and oral test calendar

    Students enrolled in the Statistics and data analytics test of 15/9 should receive within tomorrow an e-mail message showing their result. The oral tests will take place in via Comelico on Thursday 21/9 at 14:30 in Aula 6 (A-C), on Friday 22/9 at 9:30 in Aula 6 (D-G), on Friday 22/9 at 14:30 in Aula 6 (I-R), and on Monday 25/9 at 17:00 in the office of Prof. Malchiodi (S-Z).

  2. Place and time of the Statistics and data analysis written test of September 15th, 2017

    The Statistics and data analytics written test of 15/9 will take place as planned in via Comelico 39 in aula Sigma, starting from 9:00.

  3. Results of the Statistics and data analysis written test of July, 6th 2017 and oral test calendar

    Students enrolled in the Statistics and data analytics test of 6/7 should receive within tomorrow an e-mail message showing their result. The oral tests will take place in Aula 4 in via Comelico on Monday 17/7 at 14:30 (A-M) and on Tuesday 18/7 at 9:30 (N-Z).

Earlier news (20)
  1. Place and time of the Statistics and data analytics written test of July 6th, 2017

    The Statistics and data analytics written test of 6/7 will take place in via Comelico 39 in aula Sigma, starting from 14:00.

  2. Slides for the seminar on «The role of the data scientist»

    The slides of the seminar on «The role of the data scientist» by A. Condorelli are available.

  3. Results of the Statistics and data analysis written test of June, 9th 2017 and oral test calendar

    Students enrolled in the Statistics and data analytics test of 9/6 should receive within tomorrow an e-mail message showing their result. The oral tests will take place in via Comelico on Wednesday 14/6 at 9:30 in sala riunioni primo piano (A) and at 14:30 in aula omega (B-Z).

  4. Place and time of the Statistics and data analytics written test of June 9th, 2017

    The Statistics and data analytics written test of 9/6 will take place in Settore Didattico in the Sigma, starting from 15:30.

  5. Office hours canceled

    Starting Friday 04/20, regular office hour are canceled; students can arrange an appointment via e-mail.

  6. Office hours for the spring semester

    Office hours for the spring semester will be during Thursday from 14:30 until 17:30 in the teacher's office, starting from 9/3.

  7. Results of the Statistics and data analysis written test of February, 17th 2017 and oral test calendar

    Students enrolled in the Statistics and data analytics test of 17/2 should receive within short time an e-mail message showing their result. The oral tests will take place in via Comelico on Monday 6/3 at 9:30 in aula 4: Informatica (A – M); on Thursady 9/3 at 9:30 in aula 4: Informatica (N – Z); Thursady 9/3 at 14:30 in prof. Malchiodi's room: Informatica musicale; Friday 10/3 at 14:30 in sala Lauree: Informatica per la comunicazione digitale.

  8. Place and time of the Statistics and data analytics written test of February 25th, 2017

    The Statistics and data analytics written test of 17/2 will take place in Via Comelico in the Sigma, Tau and Delta lecture halls starting from 14:00.

  9. Office hours canceled

    Starting Thursday 02/17, regular office hour are canceled until next semester; students can arrange an appointment via e-mail.

  10. Results of the Statistics and data analysis written test of January, 25th 2017 and oral test calendar

    Students enrolled in the Statistics and data analytics test of 25/1 are invited to check their e-mail: they will find a message showing their result. The oral tests will take place in aula 5 of the Computer science department on Feb. 6th at 14:30 (A - CREZ), on Feb. 7th at 9:30 (CRI - P), and on Feb. 8th at 9:30 (Q - Z).

  11. Place and time of the Statistics and data analytics written test of January 25th, 2017

    The Statistics and data analytics written test of 25/1 will take place in Via Comelico in aula Sigma starting from 14:00.

  12. Schedule change for the Statistics and data analytics course

    The class of the Statistics and data analytics course originally scheduled on 16/1/2017 will take place on 17/1/2017 in aula V1.

  13. Office hours rescheduled on 22/12

    Office hours of 22/12 will end at 16:00.

  14. Schedule change for the Statistics and data analytics course

    The class of 20/12 is canceled and it will be made up on January.

  15. Office hours of November 24th canceled

    The office hours of November 24nd are canceled; students can arrange an appointment via e-mail.

  16. Lab lectures for the Statistics and data analytics course

    Starting from Oct. 26th, the additional lectures of the lab of statistics and data analytics will take place on Wednesday in aula 309 between 15:30 and 17:30 (for Computer science students) and on Friday in aula 307 between 15:30 and 17:30 (for Computer science for digital communication and for Computer science and music students). Students should check their login credential to the lab's PC (such credentials can be obtained in aula 307).

  17. Organization of the course «Statistics and data analysis»

    The course is organized in two editions: this page refers to Computer science, Computer science for digital communication and Computer science for music students whose last name starts with a letter ranging between A and I (both included). Other students should refer to the edition held by prof. Zanaboni.

  18. Beginning of the Statistics and data analytics course

    The lectures of Statistics and data analytics will start on Monday October, 3rd.

  19. Office hours for the fall semester

    Office hours for the fall semester will be during Thursday from 14:00 until 17:00 in the teacher's office, starting from 29/09.

  20. Office relocation

    Starting today, Prof. Malchiodi has moved his office in room P102 at the first floor in the via Comelico seat of the department.

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 10:30 - 12:30 V1

Any change to the schedule will be announced in class and published in paragraph News of this page.

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 03/10/2016 Course introduction
  • RS 1
L02 04/10/2016 Exploratory analysis of univariate data: frequency diagrams, pie charts, histograms, sample mean
L03 10/10/2016 Exploratory analysis of univariate data: sample mean and median
  • RS 3.1-3.3
L04 11/10/2016 Exploratory analysis of univariate data: sample mode, dispersion indices
  • RS 3.3.1, 3.4-3.6
L05 17/10/2016 Exploratory analysis of univariate and bivariate data: symmetry of the frequence distribution, approximately normal distributions, contingency tables, scatter plots and correlation coefficient
  • RS 2.5, 3.7
L06 18/10/2016 Exploratory analysis of univariate data: diversity indices and ROC curves
L07 24/10/2016 Concentration indices, combinatorics.
  • RP 3.5
L08 25/10/2016 Probability: probability space, events, probability function, axioms, elementary theorems
  • RP 3.1–3.4
L09 07/11/2016 Probability: equiprobable sample space, conditional probability
  • RP 3.5–3.6
L10 08/11/2016 Probability: law of total probability, Bayes' theorem
  • RP 3.7
L11 14/11/2016 Independence of events
  • RP 3.8
L12 15/11/2016 Probability: discrete random variables, expected value
  • RP 4.1-4.2, 4.4-4.5
L13 21/11/2016 Probability: functions of random variables, properties of expected value, variance
  • RP 4.5, 4.6
L14 22/11/2016 Probability: bidimensional discrete random variables, independence of random variables
  • RP 4.3
L15 28/11/2016 Probability: covariance, correlation and continuous random variables
  • RP 4.7, 4.2
L16 29/11/2016 Probability: Markov and Chebyshev inequalities, Bernoulli, binomial and geometric distributions
  • RP 4.9, 5.1
L17 05/12/2016 Probability: geometric, uniform discrete and Poisson distributions
  • RP 5.2
L18 06/12/2016 Probability: hypergeometric, continuous uniform and exponential distribution
  • RP 5.3, 5.4, 5.6
L19 12/12/2016 Probability: Gaussian distribution
  • RP 5.5
L20 13/12/2016 Inferential statistics: random sample, point estimation, sample mean, central limit theorem
  • RP 6.1–6.3
L21 19/12/2016 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 09/01/2017 Inferential statistics: mean squared error, unbiased estimator, consistent estimator
  • RP 7.7
L23 10/01/2017 Exercises
    L24 17/01/2017 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 25/01/2017
    February 17/02/2017
    June 09/06/2017
    July 06/07/2017
    September 15/09/2017
    January 25/01/2018