BSc in Computer science (Università degli Studi di Milano)

BSc in Digital communication (Università degli Studi di Milano)

BSc in Computer science and music (Università degli Studi di Milano)


The course aim 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

Date Info
19/09/2017 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).
11/09/2017 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.
13/07/2017 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).
29/06/2017 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.
23/06/2017 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.
12/06/2017 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).
29/05/2017 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.
20/04/2017 Office hours canceled
Starting Friday 04/20, regular office hour are canceled; students can arrange an appointment via e-mail.
06/03/2017 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.
27/02/2017 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.
14/02/2017 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.
01/02/2017 Office hours canceled
Starting Thursday 02/17, regular office hour are canceled until next semester; students can arrange an appointment via e-mail.
01/02/2017 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).
23/01/2017 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.
10/01/2017 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.
20/12/2016 Office hours rescheduled on 22/12
Office hours of 22/12 will end at 16:00.
19/12/2016 Schedule change for the Statistics and data analytics course
The class of 20/12 is canceled and it will be made up on January.
21/11/2016 Office hours of November 24th canceled
The office hours of November 24nd are canceled; students can arrange an appointment via e-mail.
19/10/2016 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).
27/09/2016 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.
26/09/2016 Beginning of the Statistics and data analytics course
The lectures of Statistics and data analytics will start on Monday October, 3rd.
21/09/2016 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.
02/09/2016 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.

Language

Lectures are in italian.

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). Students enrolled in the course can download these chapters of the italian edition through authentication using their academic credentials.

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

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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