4 hours; 4 credits.
A calculus-based treatment of elementary probability theory, where the notion of sample space, events, and probability is introduced. The basic probability models are discussed. Notion of density and distribution function is introduced. Furthermore, conditioning, independence, and expectation are discussed. Basic concepts of statistics, sample, parameter estimation, confidence interval, hypothesis testing, central limit theorem are treated.
Required Book: Introduction to Probability, Author: Anderson, Publisher: Cambridge, Year Published: 2017, Price: 71.00 USD; ISBN 9781108415859
Instructor: Professor John Verzani. john.verzani@csi.cuny.edu.
Website: www.math.csi.cuny.edu/verzani
Class time: MW 10:10AM - 12:05PM
Office hours: By request
Disability policy: Qualified students with disabilities will be provided reasonable academic accommodations if determined eligible by the Office for Disability Services. Prior to granting disability accommodations in this course, the instructor must receive verification of the student’s eligibility from the Office of Disability Services. It is the student’s responsibility to initiate contact with the Office for Disability Services staff and to follow the established procedures for having the accommodation notice sent to the instructor.
Integrity policy: CUNY’s Academic Integrity Policy is available online at https://www.cuny.edu/about/administration/offices/legal-affairs/policies-procedures/academic-integrity-policy/ .
Your grade will be comprised of two midterms (50%), one final exam (30%), and a HW/quiz grade (20%). The exam dates will be
The midterms will be March 8th and April 19th. The final exam will likely be on May 19th.
The url https://www.math.csi.cuny.edu/WebWork/courses.md lists the courses. Find MTH311 - Verzani and select that.
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