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. Understanding the ideas is emphasized, and computational proficiency will be less important, although correct answers to problems and clarity of explanation are expected.
Logical Reasoning, Quantitative Reasoning
This course will train students in classical quantitative techniques and develop their ability to logically reason through mathematical proofs.
||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: Not Available
|SECTION 01 In-person only|
|Major Readings: Wesleyan RJ Julia Bookstore
Durrett, Richard. ELEMENTARY PROBABILITY FOR APPLICATIONS, ISBN: 978-0-521-86756-6
|Examinations and Assignments: |
|Additional Requirements and/or Comments: |
Students should have a good knowledge of single-variable calculus.
|Instructor(s): Keane,Michael S. Times: ..T.R.. 09:00AM-10:20AM; Location: SCIE121; |
|Total Enrollment Limit: 70||SR major: 16||JR major: 15|| || |
|Seats Available: 20||GRAD: X||SR non-major: 8||JR non-major: 8||SO: 15||FR: 8|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 0||1st Ranked: 0||2nd Ranked: 0||3rd Ranked: 0||4th Ranked: 0||Unranked: 0|