MATH 20 Probability

Our capacity to fathom the world around us hinges on our ability to understand quantities which are inherently unpredictable. Therefore, in order to gain more accurate mathematical models of the natural world we must incorporate probability into the mix. This course will serve as an introductions to the foundations of probability theory. Topics covered will include some of the following: (discrete and continuous)random variable, random vectors, multivariate distributions, expectations; independence, conditioning, conditional distributions and expectations; strong law of large numbers and the central limit theorem; random walks and Markov chains. There is an honors version of this course: see MATH 60. Not open to students who have taken MATH 060.

Instructor

Glaubitz (fall), Lafreniere (spring)

Prerequisite

MATH 8.

Degree Requirement Attributes

Dist:QDS

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Offered

• Fall
• Spring
• Summer