|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.
||Gen Ed Area Dept:
|Course Format: Lecture / Discussion||Grading Mode: Graded|
||Prerequisites: MATH222 AND MATH228
||Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(MB&B)(NS&B)
||Past Enrollment Probability: 50% - 74%
|Major Readings: Wesleyan RJ Julia Bookstore
|Examination and Assignments: |
Regular reading, weekly graded homework sets, two mid-terms 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 pre-requisites, you may submit a pre-requisite override request.
|Instructor(s): Ramírez,Felipe A. Times: ..T.R.. 10:20AM-11:40AM; Location: SCIE201; |
|Total Enrollment Limit: 30||SR major: 8||JR major: 8|| || |
|Seats Available: 1||GRAD: X||SR non-major: 3||JR non-major: 3||SO: 8||FR: X|