MATH 231
Spring 2010 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. 
Essential Capabilities:
None 
Credit: 1 
Gen Ed Area Dept:
NSM MATH 
Course Format: Lecture / Discussion  Grading Mode: Graded 
Level: UGRD 
Prerequisites: None 

Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATAMN)(IDEAMN)(MATH)(MB&B)(NS&B) 
Major Readings:
To be announced

Examinations and Assignments: To be announced 
Additional Requirements and/or Comments: not known 
Drop/Add Enrollment Requests      
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