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CS92PROD
An Introduction to Probability
MATH 231
Fall 2008
Section: 01  

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.

Essential Capabilities: Logical Reasoning, Quantitative Reasoning
This course will focus on the creation of formally correct inductive and deductive arguments, and will train students to formulate mathematical theories and descriptions of specific and complex objects.
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(MB&B)(NS&B)
Past Enrollment Probability: Not Available

Last Updated on AUG-12-2020
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