MATH 231
Fall 2024
| Section:
01
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| Course Cluster and Certificates: Applied Data Science Certificate, 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. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MATH222 AND MATH228 |
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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: 75% - 89% |
| SECTION 01 |
| Instructor(s): Li,Han Times: .M...F. 10:50AM-12:10PM; Location: SCIE139; |
| Total Enrollment Limit: 30 | | SR major: 10 | JR major: 10 | | |
| Seats Available: 14 | GRAD: X | SR non-major: 1 | JR non-major: 1 | SO: 8 | FR: X |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 2 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 2 |
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