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.

Code
MA3005
Name
PROBABILITY
Credits
4
Pre-requisites
MA1030CCM
Co-requisites
None
Can be taken twice for credit?
No
Discipline
MA (Mathematics)
Level
Undergraduate
Type
Regular
CAMS ID
2942
Last update with CAMS
Understand the relevance of combinatorics in highlighting probability features.
Understand the importance of the concepts of independence, conditioning and moment in probability theory.
Have knowledge of the distinctive characteristics of the continuous and discrete distributions studied (Normal, Exponential, Uniform, Gamma // Binomial, Negative Binomial, Hypergeometric, Poisson, Geometric) and acquire the ability to handle connected applications appropriately.
Extend this knowledge to joint (continuous and discrete) distribution functions and solve related problems.
Term Code Name
Fall 2021 MA3005 PROBABILITY