Basic track

Mathematics from the ground up, with no prior background assumed. Taught intuitively, with plenty of worked examples.

Each session has its own slides, exercise sheet, and solutions.

Sessions

  1. Probability I: chance, conditional probability, and Bayes’ theorem
  2. Statistics & Inference: summarising data, estimation, and hypothesis testing
  3. Linear Algebra I: vectors, the dot product, matrices, and linear systems
  4. Linear Algebra II: eigenvectors, PCA, and dynamics
  5. Differential Equations: functions, derivatives, integrals, and a first differential equation

Use the sidebar to jump to any session.


Table of contents


Maths Training Crash Course 2026 · Département d'Études Cognitives, ENS-PSL · Ali Shiravand & Sara Moussaoui · supervised by Prof. Amaury Lambert

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