Spring 2013 not offered
In this course you will learn the basic theory of probability. Although the notions are simple and the mathematics involved only requires a basic knowledge of the ideas of differential and integral calculus, a certain degree of mathematical maturity is necessary. The fundamental concepts to be studied are probability spaces and random variables, the most important ideas being conditional probability and independence. The main theorems we shall study are the law of large numbers and the central limit theorem. Understanding the ideas is emphasized, and computational proficiency will be less important, although correct answers to problems and clarity of explanation are expected.
||Gen Ed Area Dept:
|Course Format: Lecture / Discussion||Grading Mode: Graded|
||Prerequisites: [MATH117 AND MATH118] OR [MATH121 AND MATH122]
||Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(MB&B)(NS&B)
Durrett, Richard. ELEMENTARY PROBABILITY FOR APPLICATIONS, ISBN: 978-0-521-86756-6
|Examinations and Assignments: |
|Additional Requirements and/or Comments: |
Students should have a good knowledge of single-variable calculus.
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