MATH 231
Fall 2018
 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)(COMP)(DATAMN)(IDEAMN)(MATH)(MB&B)(NS&B) 

Past Enrollment Probability: 75%  89% 
SECTION 01 
Major Readings: Wesleyan RJ Julia Bookstore
TBA

Examinations and Assignments: Regular reading, weekly graded homework sets, two midterms and a final exam 
Additional Requirements and/or Comments: Prerequisites are MATH222 & MATH228
This will be a proofbased introduction to the theory of probability. Students entering this course should have completed MATH222 and MATH228, and be comfortable with writing mathematical proofs (including proof by induction and contradiction). If you have the equivalent prior knowledge, you may submit a prerequisite override request.
This course is a prerequisite for the course MATH232, Statistics 
Instructor(s): Li,Han Times: ..T.R.. 01:20PM02:40PM; Location: SCIE139; 
Total Enrollment Limit: 30   SR major: 8  JR major: 8   
Seats Available: 13  GRAD: X  SR nonmajor: 3  JR nonmajor: 3  SO: 8  FR: X 
Drop/Add Enrollment Requests      
Total Submitted Requests: 1  1st Ranked: 0  2nd Ranked: 0  3rd Ranked: 1  4th Ranked: 0  Unranked: 0 
