MATH 231
Fall 2016
| Section:
01
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| 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. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MATH222 |
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Fulfills a Requirement for: (CADS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(MB&B)(NS&B) |
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Past Enrollment Probability: 50% - 74% |
| SECTION 01 |
Major Readings: Wesleyan RJ Julia Bookstore
TBA
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Examinations 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): Li,Han Times: ..T.R.. 08:50AM-10:10AM; Location: SCIE141; |
| 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 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 4 | 1st Ranked: 4 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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