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Description

Upon completion of the course, students will have an in-depth understanding of their machine; know how the web works and how to retrieve any kind of data from it. They will also learn how to process the data fetched with GPUs, machine learning libraries and using advanced concepts in Python.

  • What is an API and how to use it;
  • How can we scrap a website to get any kind of data;
  • Rules of good conduct for APIs and scrapping;
  • Use GPUs to compute descriptive stat and run some basic models;
  • Understand the basics of some machine learning libraries;
  • Learn advanced concept in Python.

Compétences visées

  • Send a request to an API (GET/POST);
  • Query APIs;
  • Web scraping;
  • GPU programming;
  • Machine Learning libraries (TensorFlow, PyTorch);
  • Advanced Python.

Discipline(s)

  • Sciences économiques

MCC

Les épreuves indiquées respectent et appliquent le règlement de votre formation, disponible dans l'onglet Documents de la description de la formation

Régime d'évaluation
ECI (Évaluation continue intégrale)
Coefficient
6.0

Évaluation initiale / Session principale - Épreuves

LibelléType d'évaluationNature de l'épreuveDurée (en minutes)Coefficient de l'épreuveNote éliminatoire de l'épreuveNote reportée en session 2
Exercices notésEG39KM12X
SCPE0.4
Dossier 1EG39KM12D1
SCPE0.30
Dossier 2EG39KM12D2
SCPE0.3