This course aims at introducing the bases of descriptive statistics, probability theory and inferential statistics.
|17/02/2019||Students enrolled in the Statistics and data analytics test of 12/2 should receive an e-mail message showing their result. The oral tests will take place in the Lab. Laurea Magistrale on the 5th floor of the computer science department, according to the following schedule organized by last name initial (not necessarily contiguous): A and D 19/2 at 8:30; B and F 19/2 at 13:30; C and G 20/2 at 8:30; P and R 20/2 at 13:30; L, M, and N 21/2 at 8:30; S, T, and V 21/2 at 13:30.|
|08/02/2019||The Statistics and data analytics written test of 12/2 will take place in the classrooms at the first floor of the Computer science department, starting from 8:30. Participants may bring a book and a notebook with them for consultation.|
|24/01/2019||Starting Monday 28/01, office hour will be handled via e-mail.|
|23/01/2019||Students enrolled in the Statistics and data analytics test of 16/1 should receive an e-mail message showing their result. The oral tests will take place in via Celoria 18, in the Lab. Laurea Magistrale 5 piano at 9:30 on 25/1, 29/1, 30/1, 31/1, and 1/2 and in the Lab. Laurea Magistrale 3 piano at 9:30 on 28/1 as follows. Degree F1X+F49: A/L 25/1, M/Z 28/1. Degree F3X+F9X: A/C 28/1, D/I 29/1, L/M 30/1, N/P 31/1, Q/Z 1/2. The public correction will take place at 10:00 on 4/2 in Lab. Laurea Magistrale 5 piano.|
|10/01/2019||The Statistics and data analytics written test of 16/1 will take place in the classroom Gamma of the Computer science department, starting from 8:30.|
|13/12/2018||The office hours of December, 18th are canceled.|
|13/12/2018||The Statistics and data analytics lecture of 17/12 will take place in aula Beta.|
|05/11/2018||The classes of November, 6th and 7th are canceled, as well as the office hours of November 6th.|
|30/10/2018||The Statistics and data analytics lab of November, 2nd is canceled.|
|22/10/2018||Additional lectures of the laboratory of Statistics and data analysis will start from Friday, october 26th between 10:30 and 13:30 in classroom Gamma in via Celoria 18.|
|16/10/2018||Starting from 22/10, Monday classes will take place in aula Magna of the Department of Computer science. The timetable is unchanged.|
|05/10/2018||Office hours for the fall semester will be on Tuesday from 16:30 in the teacher's office, starting from 09/10.|
|01/10/2018||The lecture notes are available also in interactive form.|
|01/10/2018||The starting date of lab lectures will be communicated later on.|
Lectures will take place at the educational sector of Città studi, according to the following provisional schedule:
|Monday||10:30 - 12:30||G21 Aula Magna del Dipartimento di Informatica|
|Tuesday||9:30 - 12:30||301|
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.
Tuesday, at 16:30.
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.
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).
The course explains the topics listed in the lecture calendar.
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.