|Certificates: Applied Data Science|
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.
||Gen Ed Area Dept:
|Course Format: Lecture / Discussion||Grading Mode: Graded|
||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
|Examinations and Assignments: |
We will have weekly problem sets, a midterm exam and a final. Regular class attendance is essential.
|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: .M.W.F. 09:00AM-09:50AM; Location: SCIE141; |
|Total Enrollment Limit: 30||SR major: 7||JR major: 7|| || |
|Seats Available: -8||GRAD: X||SR non-major: 3||JR non-major: 3||SO: 8||FR: 2|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 7||1st Ranked: 0||2nd Ranked: 0||3rd Ranked: 0||4th Ranked: 0||Unranked: 7|