PSL Master Course


Digital Humanities Meet Artificial Intelligence

As part of the special “transverse program” of PSL, the DHAI group organizes with the help of PSL a special 1 week course on the topic of “Digital Humanities Meet Artificial Intelligence”. This course is open in priority to Master 2 students of PSL. It is also open to other students (Master and PhD) and researchers, subject to availability.

This intensive training will cover theoretical, numerical and applicative topics at the intersection between these two fields. The structure of the course will be quite innovative, since it will interplay theoretical course, practical sessions with computer labs and projects in small groups.

Important: Master students should check with their master’s administration if this course can be used to validate one of their master course.

Dates and location

Dates: March 30th to April 3rd 2019.

Location: the course will take places in either ENS (45 rue d’Ulm) and IHP (11 rue Pierre et Marie Curie).

  • Monday March 30, 8h-12h: ENS Salle des actes,
  • Monday March 30, 12h-14h: ENS Salle des actes (special DHAI seminar)
  • Monday March 30, 14h à 19h30: ENS room R,
  • Tuesday March 31, 9h-12h: IHP, room 314
  • Tuesday March 31, 14:00-16h: ENS room R (Aile Rataud floor -2),
  • Tuesday March 31, 16h-17h30: ENS room W (Aile Rataud floor +4),
  • Wednesday April 1st, 9h-18h: IHP room 314,
  • Wednesday April 1st, 14h-18h: IHP room 421,
  • Thursday Avril 2nd, 9h-17h30: ENS room R,
  • Friday Avril 3rd, 9h-12h30: Room Dussane,
  • Friday Avril 3rd, 14h30-18h: IHP rooms 421 and 01.

Pre-register to the Courses

You can pre-register here to the course.

PSL students have priority if they pre-register before January 31st.

Courses Content

This week-long course will be split into three types of classes: theory, practice and project. During the project session, students will work in small groups toward a case study of practical importance. The final examination of the course will be a short presentation of the projects.

List of courses:

The practical sessions will feature:

  • Python programming for AI.
  • Digital Sources and Tools for the Humanities.

Examples of projects include:

  • Computer vision and digital heritage.
  • Computational table exploration for Alfonsine astronomy.
  • Automatic discovery of chronologic and geographic circulation of artistic styles.
  • Improving the GROBID software for semantic description of semi-structured data.

Schedule

Organizers