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A MOSAIC is drawn from different sources of material to compose a coherent picture or pattern. Similarly, we draw from the traditionally separate quantitative topics of Modeling, Statistics, Computation, and Calculus to provide a more coherent curriculum for undergraduate quantitative education.

Upcoming MOSAIC Events Next M-casts & Archive of previous M-casts & Instructions for Tuning In Highlighted Event: MAA PREP Workshop: Modeling in Calculus: Early and Often, July 9-13, Calvin College, Grand Rapids, Michigan, registration soon available at MAA site Recent Events Joint Mathematics Meetings, Jan 3-8, 2012: modeling workshop, concept inventory, applets USCOTS 2011, March 2011 Funding is provided by the US National Science Foundation DUE-0920350. Welcome to Project MOSAIC Project MOSAIC is a community of educators working to develop new ways to introduce mathematics, statistics, computation, and modeling to students in colleges and universities. Our goal is to present these topics in an integrated way to help students develop the skills needed to navigate the natural and social sciences in today's world. Themes: Statistics, Calculus, Computing, Modeling Courses: Applied Calculus (Spring 2012), Statistical Modeling (Fall 2012) Assessment: Modeling Concept Inventory Software Resources: mosaic R package & other R resources, Sage Interest Groups: Post-intro Statistics Course, Epidemiology, Teaching Stats with R Navigation: Some pages on this wiki are available to the public, but most of the site is accessible only to educators who have a Project MOSAIC account. To get an account, contact kaplan@macalester.edu. MOSAIC Course Implementations: Applied Calculus at Macalester Statistical Modeling Numerical Linear Algebra at Macalester Epidemiology All day-by-day syllabi MOSAIC Books: Foundations and Applications of Statistics: An Introduction Using R by Randall Pruim, 978-0-8218-5233-0 Statistical Modeling: A Fresh Approach 2/e by Daniel Kaplan Using R for Data Management, Statistical Analysis, and Graphics by Nicholas Horton and Ken Kleinman Teaching Statistics in R by Randall Pruim, Nicholas Horton, and Daniel Kaplan, in draft SAS and R by Ken Kleinman and Nicholas Horton Page maintenance: 2011-12