Courses

  • Automatic speech processing

    The goal of this course is to provide the students with the main formalisms, models and algorithms required for the implementation of advanced speech processing applications (involving, among others, speech coding, speech analysis/synthesis, and speech recognition).

    Section of Electrical and Electronical Engineering
    Teachers: Magimai Doss Mathew
    Language: english
    Academic term: 2022-2023


  • Computational Social Media

      The course will present a human-centered view of computational social media. It uses a multidisciplinary approach and integrates concepts from media studies, multimedia information systems, machine learning, and network science to present the socio-technical fundamentals needed to understand user motivations and behavior, and analyze content in platforms like Twitter, Facebook, Instagr

    Doctoral Program Digital Humanities
    Teachers: Gatica-Perez Daniel
    Language: english
    Academic term: 2022-2023


  • Deep Learning For Natural Language Processing

    The Deep Learning for NLP course provides an overview of neural network based methods applied to text. The focus is on models particularly suited to the properties of human language, such as categorical, unbounded, and structured representations, and very large input and output vocabularies.

    Doctoral Program in Electrical Engineering
    Teachers: Henderson James
    Language: english
    Academic term: 2022-2023


  • Digital Speech and Audio Coding

    The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques.

    Doctoral Program in Electrical Engineering
    Teachers: Motlicek Petr, Magimai Doss Mathew
    Language: english
    Academic term: 2022-2023


  • Fundamentals in statistical pattern recognition

    This course provides in-depth understanding of the most fundamental algorithms in statistical pattern recognition or machine learning (including Deep Learning) as well as concrete tools (as Python source code) to PhD students for their work.

    Doctoral Program in Electrical Engineering
    Teachers: Marcel Sébastien, Canévet Olivier, Anjos André
    Language: english
    Academic term: 2022-2023


  • Fundamentals of machine learning

    This course provides a general overview of machine learning, covering the main algorithms, theoretical formalisms, and experimental protocols.

    Section of Electrical and Electronical Engineering
    Teachers: Liebling Michael Stefan Daniel
    Language: french
    Academic term: 2022-2023


  • Image processing II



    Neuro-X section
    Teachers: Unser Michaël, Sage Daniel, Liebling Michael Stefan Daniel, Van De Ville Dimitri Nestor Alice
    Language: english
    Academic term: 2022-2023


  • Machine Learning for Engineers



    Doctoral Program in Civil and Environmental Engineering
    Teachers: Canévet Olivier, Odobez Jean-Marc, Villamizar Michael, Calinon Sylvain
    Language: english
    Academic term: 2022-2023


  • Perception and learning from multimodal sensors

    The course will cover different aspects of multimodal processing (complementarity vs redundancy; alignment and synchrony; fusion), with an emphasis on the analysis of people, behaviors and interactions from multimodal sensor, using statistical models and deep learning as main modeling tools.

    Doctoral Program in Electrical Engineering
    Teachers: Odobez Jean-Marc
    Language: english
    Academic term: 2022-2023