Big data: architectures and data analytics (2017/2018)

Table of content

General information

Exam rules

Announcements

Students from AA to LZ Students from MA to ZZ
  •  (22/07/2018)
    • The results of the “Big data: architectures and data analytics – July 16, 2018” exam are available on the “Teaching Portal, Exams, Provisional exam results”.
    • Exam papers, for the students from AA to LZ, will be discussed on Wednesday, July 25 2018 at 13:30 – Sala Colloqui DAUIN (at the 4th floor of the Dipartimento di Automatica e Informatica) (map).
    • Students, who received a grade >= 18 on the written exam and want to reject it, have to send an e-mail to Paolo Garza by Friday, July 27, 2018 at 18:00.
  • (12/07/2018) The exam scheduled for July 16, 2018 will be held at 8:30 in
    • Classroom 3P: Students from AA to LZ
    • Classroom 4P: Students from MA to ZZ
    • Please, remember to bring with you:
      • the student card and/or an identity document
      • sheets of paper
  • (22/07/2018)
    • The results of the “Big data: architectures and data analytics – July 16, 2018” exam are available on the “Teaching Portal, Exams, Provisional exam results”.
    • Exam papers, for the students from MA to ZZ, will be discussed on Wednesday, July 25 2018 at 14:00 – Sala Colloqui DAUIN (at the 4th floor of the Dipartimento di Automatica e Informatica) (map).
    • Students, who received a grade >= 18 on the written exam and want to reject it, have to send an e-mail to Paolo Garza by Friday, July 27, 2018 at 18:00.
  • (12/07/2018) The exam scheduled for July 16, 2018 will be held at 8:30 in
    • Classroom 3P: Students from AA to LZ
    • Classroom 4P: Students from MA to ZZ
    • Please, remember to bring with you:
      • the student card and/or an identity document
      • sheets of paper

 Lectures: Schedule and topics

Materials

Screencast

Pay attention that each video is longer than 1 hour. The integrated  player of Dropbox plays only the first hour of each video. To watch the entire videos you should use one of the following approaches:

  1. Download locally the videos you are interested in and use a player installed on your PC
  2. Include in your Dropbox the videos you are interested in. The Dropbox player allows watching the entire videos if they are in your dropbox.

Videos

 

Exercises

 

Exam Examples

 

Practices

Additional materials

 


 Parent page 

 Menu 

 © 2018 - DataBase and Data Mining Group