Examines probability in its various components and through its diverse applications. Topics include: combinatorial analysis, axioms of probability, discrete random variables and distributions & continuous random variables and probability density functions, joint distribution functions, law of large numbers. The statistical concepts of conditioning, independence and expectation will be highlighted, as well as the notion of moments. Selected applications will shed light on the use of probability in various fields.
Course Master:
Term:
Fall 2025
Discipline:
MA (Mathematics)
Credits:
4 credits
Type:
Regular
Level:
Undergraduate
Can be taken twice for credit?:
No
Pre-requisites:
MA1030CCM
Co-requisites:
None
