Description: (MATH 519) Algebra of sets, sample spaces, combinatorial problems, independence, random variables, distribution functions, moment generating functions, special continuous and discrete ...
Probability theory forms the mathematical backbone for quantifying uncertainty and random events, providing a rigorous language with which to describe both everyday phenomena and complex scientific ...
Description: Engineering applications of probability theory. Problems on events, independence, random variables, distribution and density functions, expectations, and ...