Learning outcomes

  • The student is able to participate actively in a scientific debate.
  • The student is aware of current trends in data science and has the skill to judge different approaches and technologies.
  • The student can list the strengths and weaknesses of different AI/data science technologies and in which circumstances they can be applied.
  • The student is able to recognise and formulate open research questions, a skill that will support them in their own explorations of the field.

Content

The fields of artificial intelligence and data science are evolving at an incredible speed. In this course, the latest advances in data science will be presented. During a series of guest lectures, experts in their field come to talk about their latest research.

Assessment method

Written examination with oral defense.

Sources, references and any support material

Slides and reading material will be made available through Webcampus.

Language of instruction

French
Training Study programme Block Credits Mandatory
Master in Computer Science Finalité spécialisée en data science 2 5 Yes