MATH 231
Fall 2017
 Section:
01

Certificates: Applied Data Science 
Course Cluster: Data Analysis Minor, Integrated Design, Engineering & Applied Science Minor 
This course teaches the basic theory of probability. Although the notions are simple and the mathematics involved require only 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 will study are the law of large numbers and the central limit theorem. 
Credit: 1 
Gen Ed Area Dept:
NSM MATH 
Course Format: Lecture / Discussion  Grading Mode: Graded 
Level: UGRD 
Prerequisites: MATH222 AND MATH228 

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

Past Enrollment Probability: 50%  74% 
SECTION 01 
Major Readings: Wesleyan RJ Julia Bookstore
TBA

Examination and Assignments: Regular reading, weekly graded homework sets, two midterms and a final exam 
Additional Requirements and/or Comments: This course is a prerequisite for the course MATH232, Statistics. Math 222 is highly recommended as a pre or corequisite. If you have the equivalent calculus placement for the prerequisites, you may submit a prerequisite override request. 
Instructor(s): Ramírez,Felipe A. Times: ..T.R.. 10:20AM11:40AM; Location: SCIE201; 
Total Enrollment Limit: 30   SR major: 8  JR major: 8   
Seats Available: 1  GRAD: X  SR nonmajor: 3  JR nonmajor: 3  SO: 8  FR: X 
