The study of measures, measurable spaces, measurable functions, and integration; it provides a rigorous foundation for assigning sizes or volumes to sets, for integrating functions, and for building probability theory and Lebesgue integration.
The study of sigma-algebras, measures, measurable functions, integration, and convergence theorems that generalize length, area, volume and probability, forming the foundation for modern analysis and probability.