Introduction to Probability
Queen Mary, University of London
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits4
Recommended U.S. Quarter Units6
Hours & Credits
This is the first module in probability, covering events and random variables. It introduces the basic notions
of probability theory and develops them to the stage where one can begin to use probabilistic ideas in
statistical inference and modelling, and the study of stochastic processes. The first section deals with
events, the axioms of probability, conditional probability and independence. The second introduces random
variables both discrete and continuous, including distributions, expectation and variance. Joint distributions
are covered briefly.
Assessment: 10.0% Coursework, 90.0% Examination
Semester 1 Associate Assessment: 100.0% Coursework
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Please reference fall and spring course lists as not all courses are taught during both semesters.
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