MATH 4426
Probability
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.
Topics
- probability spaces
- discrete and continuous random variables
- joint and conditional distributions
- mathematical expectation
- the central limit theorem
- and the weak law of large numbers
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027
Catalogue variants
- Probability · 3