BSc in Computer science (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 |
---|---|

22/02/2023 |
February oral tests of Statistics and data analysis (2nd session) Students enrolled in the Statistics and data analysis test of 20/2 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the Meeting room on the fifth floor of the Compunter Science Department on 1/3 (9:30) and on 3/3 (14:00). The public correction of the written test will take place on 3/3 at the end of the oral tests. |

14/02/2023 |
Place and time of the Statistics and data analysis
written test of February 20th, 2023 The Statistics and data analytics written test of 20/2 will take place in the classroom Omega of the computer science department, at 8:30. Participants may bring a book and a notebook for consultation. The use of FFP2 masks is strongly advised. |

08/02/2023 |
February oral tests of Statistics and data analysis (1st session) Students enrolled in the Statistics and data analysis test of 6/2 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the Lab. Laurea magistrale classroom on the fifth floor of the Compunter Science Department on 13/2 (14:30) and on 14/2 (9:00). The public correction of the written test will take place on 14/2 at the end of the oral tests. |

01/02/2023 |
Place and time of the Statistics and data analysis
written test of February 6th, 2023 The Statistics and data analytics written test of 6/2 will take place in the classroom Omega of the computer science department, at 8:30. Participants may bring a book and a notebook for consultation. The use of FFP2 masks is strongly advised. |

24/01/2023 |
January oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 19/1 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the Compunter Science Department on 26/1 (9:00, Lab. Laurea magistrale fifth floor) and on 30/1 (9:00, classroom Epsilon). The public correction of the written test will take place on 30/1 at the end of the oral tests. |

18/01/2023 |
Place and time of the Statistics and data analysis
written test of January 19th, 2023 The Statistics and data analytics written test of 19/1 will take place in the classroom Omega of the computer science department, at 8:30. Participants may bring a book and a notebook for consultation. The use of FFP2 masks is strongly advised. |

14/09/2022 |
Place and time of the Statistics and data analysis
written test of September 19th, 2022 The Statistics and data analytics written test of 19/9 will take place in the classroom Sigma of the computer science department, at 13:30. Participants may bring a book and a notebook for consultation. The use of FFP2 masks is strongly advised. |

08/07/2022 |
July oral tests of Statistics and data analysis The Statistics and data analysis oral tests for july will take place in the Computer Science department on 13/7 at 9:30 (Lab. Laurea magistrale 5° piano), on 15/7 at 14:30 (Lab. Laurea magistrale 5° piano), on 18/7 at 9:30 (Sala riunioni 5° piano), on 19/7 at 14:30 (Sala riunioni 5° piano), and on 20/7 at 9:30 (Lab. Laurea magistrale 5° piano). The public correction of the written test will take place after the oral tests of 20/7. |

29/06/2022 |
Place and time of the Statistics and data analysis
written test of June 4th, 2022 The Statistics and data analytics written test of 4/7 will take place in the classroom Sigma of the computer science department, at 14:30. Participants may bring a book and a notebook for consultation. The use of FFP2 masks is strongly advised. |

01/06/2022 |
Date change for the written test of Statistics and data analytics The written test of Statistics and data analytics of June has been postponed to June, 17th at 14:30 in the sigma gamma classroom of the Computer science department. |

06/04/2022 |
Modality change for the 7/4 lecture of «Statistics and data analysis» The 7/4 lecture of the «Statistics and data analysis» will take place only remotely. |

28/02/2022 |
Office hours on March, 10th The office hours of March, 10th are canceled. |

28/02/2022 |
Office hours for the spring semester Office hours for the spring semester will be on Thursday from 17:00 in the teacher's office, starting from 03/03. To avoid crowds during the pandemic period, students are required to schedule an appointment. |

## Language

Lectures are in italian.

## Course schedule

Lectures take place (until further notice) using a hybrid modality: in presence at the educational sector of "Città studi", and online through authentication to a zoom link published on the moodle page of the course. The schedule is as follows:

Day | Hour | Place |
---|---|---|

Tuesday | 10:30 - 12:30 | G11 |

Thursday | 13:30 - 16:30 | G11 |

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). These chapters (from the italian edition) can be downloaded through authentication using the previously described 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).

Some lecture notes for topics not covered by the textbooks are available through a github repository, as well as in a form directly executable in a Web browser.

## Syllabus

The course explains the topics listed in the lecture calendar.

### Prereqs

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.

## Lectures calendar

## Exam modalities

Students **should** sign up for the examination session in order
to be admitted at the exam.

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.

## Exam sessions

Session | Date | |
---|---|---|

June | 13/06/2022 17/06/2022 | |

July | 04/07/2022 | |

September | 19/09/2022 | |

January | 19/01/2023 | |

February | 06/02/2023 | |

February | 20/02/2023 |