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While probability began with a study of games, it has grown to become a discipline with numerous applications throughout mathematics and the sciences. Drawing on gaming examples for motivation, this course will present axiomatic and mathematical aspects of probability. Included will be discussions of random variables, expectation, independence, laws of large numbers, and the Central Limit Theorem. Many interesting and important applications will also be presented, potentially including some from coding theory, number theory and nuclear physics.
Grading: yes pass/fail option,
yes fifth course option
homework, classwork, and exams
MATH 250 or permission of the instructor
Priority will be given to Stats majors.
This course is cross-listed and the prefixes carry the following divisional credit:
This is a 300-level Math/Stat course