CDL COURSE ENTRY FORM


Author: Laura Wait/SUNY
Last modified by: Stephanie Thomas/SUNY
Composed: 08/15/2005 06:06 PM
Curriculum Committee Approval Date:
Modified: 01/06/2016
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Course Number: (prefix) SMT (number) 273504 ESC 2.0 Course number: MATH-3025 MATH-3025Math Modeling

Name: Math Modeling
Datatel Title: (30char) Math Modeling

Area Coordinator: Betty Hurley Department Code: 10MA Team: SMT

Liberal Study? YES Level: UPPER Credits: 4 Prerequisite? YES
General Education Course? NO GenEd Approval Term/Year:

GenEd Area 1: Fully or Partially:
GenEd Area 2: Fully or Partially:



Pre-registration Information?
Course will be offered (for online course descriptions, proposed offerings for by term views and web views)
Spring 1		Course will be offered (for final term listings, online registration, online bookordering, web views)
Spring 1
First Term Offered: 2006SU (Required Format: YearTerm - i.e., 2005SP)
Last Term Offered in Print Version:
Title Changes:
AC Changes: Effective Sept '13 term changed from Jen Blue to Betty Hurley-Dasgupta. Catalog updated 7/23/13. LWait
Changed from Betty Lawrence to Jennifer Blue effective Sept 2011 term. Catalog updated 7/7/11. LWait
BK Number:

Description: Mathematical Modeling looks at the world in a numerical way to gain a better understanding of how things work and interrelate. The focus of this course will be on patterns of growth. There are countless examples that will allow the course to include new or newsworthy problems each term. When will an outbreak of a disease become an epidemic? Which investment strategies give the best return? When does a species, such as the spotted owl of the great Northwest, decline to a point that it is doomed to extinction? When is a problem too big to be solved by a computer?

Learn how to frame questions and use mathematical models to shed light on the problem. Learn how experts arrive at their conclusions. Learn various mathematical models, skills in applying these models to real world case studies, and strategies for refining a model to match the unique characteristics of a problem and to maximize the effectiveness of its solution. Students will work in teams throughout the term.

Prerequisites: Calculus I, Statistics required. Calculus II recommended

Generic:



Major Course Area
Science Math & Technology		Minor Course Area
Math and Quantitative Studies		SLN Disciplines
Mathematics
Additional Course Requirements
WWW Computer Conference		 Undergrad Certificate Association:


0




Required Booknote:

Optional Booknote:


Archive Course:

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