MT 426 Probability (Fall/Spring: 3)

Prerequisite: MT 202, familiarity with using a computer
This course provides a general introduction to modern probability theory. Topics include probability spaces, discrete and continuous random variables, joint and conditional distributions, mathematical expectation, the central limit theorem, and the weak law of large numbers. Applications to real data will be stressed, and we will use the computer to explore many concepts.

Last Updated: 30-JAN-12