Schedule of Courses
STA 205 - PROBABIL/MEASURE THEORY
Introduction to probability spaces, the theory of measure and integration, random variables, and limit theorems. Distribution functions, densities, and characteristic functions; convergence of random variables and of their distributions; uniform integrability and the Lebesgue convergence theorems. Weak and strong laws of large numbers, central limit theorem. Prerequisite: elementary real analysis and elementary probability theory. Instructor: Staff





E/C Meeting Time (Location) Instructor

Open


01LEC12/18M W 2:50 PM-4:05 PM (Old Chem 025)
Wolpert,Robert L


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