The course aim at introducing the fundamentals of descriptive statistics, probability and parametric inferential statistics.
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.
Office hours on February, 20th
The office hours of Februaty, 20th are canceled.
Timetable change for the Statistics and data analysis course
Tuesday lectures of Statistics and data analysis will start at 11:30.
Lectures are in italian.
Lectures take place at the educational sector of Città studi, according to the following provisional schedule:
|Tuesday||12:30 - 14:30 11:30 - 13:30||G21|
|Thursday||13:30 - 16:30||405|
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.
Thursday, at 17:00.
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.
Students shall have passed the exam of «Calculus»; besides that, the course requires knowledge of the main topics of computer programming, and having passed the exam of «Discrete mathematics» is strongly suggested.
The exam consists of a written and an oral test, both relating to the topics covered in the course. The written test takes place in a computer-based room and it lasts two hours and a half. It is based on open-ended questions and on the analysis of a dataset through the adequate application of the statistical techniques described during the classes. The evaluation, with a mark of pass/fail, takes into account the level of mastery of the topics and the correct use of mathematical formalism.
The oral test, which is accessed after passing the written test, is based on the discussion of the written test answers and on questions concerning topics covered in the course. Its evaluation, expressed on a scale between 0 and 30, takes into account the level of mastery of the topics, the clarity, the language skills, and the correct use of technical jargon.