• You wishlist is empty.

    You can save the diplomas or courses of your choice.

    UE Learning, Probabilities and Causality

    • Level

      Baccalaureate +5

    • ECTS

      6 credits

    • Component

      UFR IM2AG (informatique, mathématiques et mathématiques appliquées)

    • Semester

      Automne

    Description

    Causality is at the core of our vision of the world and of the way we reason. It has long been recognized as an important concept and was already mentioned in the ancient Hindu scriptures: “Cause is the effect concealed, effect is the cause revealed”. Even Democritus famously proclaimed that he would rather discover a causal relation than be the king of presumably the wealthiest empire of his time. Nowadays, causality is seen as an ideal way to explain observed phenomena and to provide tools to reason on possible outcomes of interventions and what-if experiments, which are central to counterfactual reasoning, as ‘‘what if this patient had been given this particular treatment?’’

    Read more

    Objectives

    The main aim of this course is to provide the principles and tools to understand and master learning models based on probabilities and causality.

    Read more

    Course parts

    • CMLectures (CM)36h
    • Practical workPractical work (TP)18h

    Recommended prerequisites

    Probability and statistics background.

    Read more