MATH 231
Spring 2011
 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 train students in classical quantitative techniques and develop their ability to logically reason through mathematical proofs.

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) 

Past Enrollment Probability: Not Available 
SECTION 01 
Major Readings: Wesleyan RJ Julia Bookstore
Durrett, Richard. ELEMENTARY PROBABILITY FOR APPLICATIONS, ISBN: 9780521867566

Examinations and Assignments: TBA 
Instructor(s): Keane,Michael S. Times: ..T.R.. 09:00AM10:20AM; Location: SCIE121; 
Total Enrollment Limit: 36   SR major: 0  JR major: 0   
Seats Available: 23  GRAD: X  SR nonmajor: 10  JR nonmajor: 10  SO: 14  FR: 2 
Drop/Add Enrollment Requests      
Total Submitted Requests: 0  1st Ranked: 0  2nd Ranked: 0  3rd Ranked: 0  4th Ranked: 0  Unranked: 0 
