Topic outline

  • Information Retrieval

    The Information Retrieval part of the course will be structured with recorded in-person lectures.

    There will be two lectures each week:

    • Monday, from 11:00 to 13:00. Aula Morin, H2bis building.
    • Thursday, from 10:00 to 12:00 from 9:00 to 11:00. Room 4C, H2bis building.

    The first lecture will be on October 4, 2021.

    The code to access the MS Teams of the course is: t0i8w8d


    The exam for the Information Retrieval part of the course consists of a project plus an oral exam.

    For December and January the dates of the exam are the following ones:

    • December 21, 2021. From 9:30 am in room 5B, H2bis building.
    • January 14, 2022. From 9:30 am in room 5B 4D, H2bis building. Check the MS Teams of the course for the schedule!

    Please submit your project (code or report) by email at least 5 days before the exam.

    If you need to have a remote exam please inform me at the moment of the submission, so that I can update the schedule.

    If you need to anticipate the exam for scheduling purposes (e.g., to the previous week) please write to me so that, if enough people require it, I can fix an additional date in December.

    After January the exam will be by appointment.

  • Lecture 01

  • Lecture 03

  • Lecture 04

  • Lecture 06

  • Lecture 07

  • Lecture 08

  • Lecture 09

  • Lecture 10

  • Lecture 11

  • Data Visualization

    The lectures on Data Visualization will start on Wednesday, November 17. The lectures will take place in building H2bis, room 4C for three weeks as follows:

    - on Wednesdays from 14:00 to 17:00

    - on Thursdays from 9:00 to 13:00

    The lectures will be recorded and available on Teams, but I encourage attendance in person whenever possible.

    Note that the lessons on November 17 and 18 will be held online.

  • Lecture 1

    •  Introduction File PDF document
    •  Foundations File PDF document
  • Lecture 2

  • Lecture 3

    •  Test Dash File Text file
    •  Color File PDF document
  • Lecture 4

    •  Exam File PDF document
  • Lecture 5

  • Lecture 6

    •  Gapminder File Text file