After a brief introduction to the reasons for studying probability and statistics, the course treats the fundamentals of probability theory: sample spaces, events and their probabilities, conditional probability and independence, discrete and continuous random variables, simulation, expectation and variance, functions of random variables, joint distributions, and covariance and correlation. It finishes with discussions of the two most important theorems of the subject, the law of large numbers and the central limit theorem. This is the first course in a two semester sequence, the second course being devoted to statistics.
||Gen Ed Area Dept:
|Course Format: Lecture||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
|Major Readings: Wesleyan RJ Julia Bookstore
Dekking, Kraaikamp, Lopuhaa and Meester, A MODERN INTRODUCTION TO PROBABILITY AND STATISTICS, ISBN 1852338962
|Examination and Assignments: |
We will study approximately one chapter per week from our textbook, and regular homework assignments will be given. Serveral in-class tests will be given, and there will be a cumulative final exam.
|Additional Requirements and/or Comments: |
A basic understanding of calculus and limit procedures is expected. Regular class attendance is essential. The course format will be mixed lecture, discussion, and problem solving in class.
|Instructor(s): Fieldsteel,Adam Times: ..T.R.. 01:10PM-02:30PM; Location: SCIE139; |
|Total Enrollment Limit: 36||SR major: 8||JR major: 8|| || |
|Seats Available: 1||GRAD: 0||SR non-major: 4||JR non-major: 4||SO: 9||FR: 3|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 0||1st Ranked: 0||2nd Ranked: 0||3rd Ranked: 0||4th Ranked: 0||Unranked: 0|