MSc in Computer science (Università degli Studi di Milano)
This course introduces the principal techniques related to the analysis of large amounts of data.
News
| Date | Info |
|---|---|
| 03/02/2020 |
Place and time of the Big scale analytics test of February 2020 The Big scale analytics oral tests of February will take place in the meeting room at the fifth floor of the Computer science department, on 5/2 at 10:30. |
| 13/01/2020 |
Place and time of the Big scale analytics test of January 2020 The Big scale analytics oral tests of January will take place in the meeting room at the fifth floor of the Computer science department, on 16/1 at 14:30. |
| 11/09/2019 |
Place and time of the Big scale analytics test of September 2019 The Big scale analytics oral tests of September will take place in the Lab. Magistrale room at the fifth floor of the Computer science department on 18/9 at 9:30. |
| 28/06/2019 |
Place and time of the Big scale analytics test of July 2019 The Big scale analytics oral tests of July will take place in the meeting room at the fifth floor of the Computer science department, on 2/7 at 9:30 (last name starting from A to L), and on 3/7 at 14:30 (last name starting from M to Z). |
| 05/06/2019 |
Place and time of the Big scale analytics test of June 2019 The Big scale analytics oral tests of June will take place in the meeting room at the fifth floor of the Computer science department, on 11/6 at 9:30 (last name starting from A to M), and on 13/6 at 9:30 (last name starting from N to Z). |
| 07/04/2019 |
Place and time of the Big scale analytics test of April 2019 The Big scale analytics oral tests of April will take place in prof. Malchiodi's office on 9/4 at 14:30. |
| 07/02/2019 |
Place and time of the Big scale analytics test of February 2019 The Big scale analytics oral tests of February will take place in the meeting room at the fifth floor of the Computer science department, on 12/2 at 14:30 (last name starting from A to M), and on 13/2 at 9:30 (last name starting from N to Z). |
| 24/01/2019 |
Office hours change Starting Monday 28/01, office hour will be handled via e-mail. |
| 10/01/2019 |
Place and time of the Big scale analytics test of January 2019 The Big scale analytics oral tests of January will take place in the meeting room at the fifth floor of the Computer science department, on 16/1 at 15:00 (last name starting from A to H), and on 17/1 at 15:00 (last name starting from L to Z). |
| 13/12/2018 |
Office hours on December 18th The office hours of December, 18th are canceled. |
| 29/11/2018 |
Classroom change for the Big scale analytics course The Big scale analytics lectures of 4/12, 11/12, and 8/1 will take place in aula Tau; the lecture of 18/12 will take place in aula 207. |
| 30/10/2018 |
Schedule change for the Big scale analytics course Reminder: the class of Big scale analytics of 28/11 will take place in aula V5. |
| 13/11/2018 |
Schedule change of the Big scale analytics classes Starting from 20/11, the Tuesday classes will take place in aula 207. |
| 05/11/2018 |
Suspension of lectures and office hours on November 6th and 7th The classes of November, 6th and 7th are canceled, as well as the office hours of November 6th. |
| 08/10/2018 |
Schedule change for the Big scale analytics course The class of Big scale analytics of 17/10 will take place in aula 305. |
| 05/10/2018 |
Office hours for the fall semester Office hours for the fall semester will be on Tuesday from 16:30 in the teacher's office, starting from 09/10. |
| 05/10/2018 |
Schedule change of the Big scale analytics classes Starting from 09/10, classes will take place on Tuesday from 14:30 till 16:30 in aula Alfa and on Wednesday from 13:30 till 15:30 in aula Magna. |
Language
Lectures are in italian.
Course schedule
Lectures will take place at the educational sector of Città Studi, according to the following tentative schedule:
| Day | Hour | Place |
|---|---|---|
| Tuesday | 16:30 - 18:30 14:30 - 16:30 | aula V8 aula Alfa Aula 207 |
| Wednesday | 13:30 - 15:30 | aula 402 aula Magna |
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 theoric part of the course is based on the following textbook: Anand Rajaraman and Jeff Ullman, Mining of Massive Datasets (marked by RU in the lectures calendar)., available both as a freely downloadable PDF and published in hardcopy by Cambridge University Press (ISBN:9781107015357). The suggested readings for the practical part are Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia, Learning Spark. Lightning-Fast Big Data Analysis, O'Reilly, 2015 (ISBN:978-1-449-35862-4) and Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills, Advanced Analytics with Spark. Patterns for Learning from Data at Scale, O'Reilly, 2015 (ISBN:978-1-491-91276-8)
The part on distributed file systems and MapReduce is based on the adopted textbook and on the Hadoop tutorial published by Yahoo!
Some labs refer to the Data Science and Engineering with Spark edX program.
Syllabus
The course explains the topics listed in the lecture calendar, covering the textbook contents as well as the contents of the remaining documents listed in Course material.
Lectures calendar
Exam modalities
The exam consists in an oral test.
Exam sessions
| Session | Date | |
|---|---|---|
| January | 16/01/2019 | |
| February | 11/02/2019 | |
| June | 11/06/2019 | |
| July | 02/07/2019 | |
| September | 17/09/2019 | |
| January | 16/01/2020 |