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MATH 110 (Elementary Mathematical Models)


DESCRIPTION In MATH 110 our goal is to convey the power of mathematics as shown by the variety of problems which can be modeled and solved by quantitative means.  Topics include data analysis, systems of equations and inequalities, elementary linear programming, the mathematics of finance and probability.  The course includes applications of these topics to problem solving and decision making in economics, management, and social sciences.
PREREQUISITE

Satisfactory score on Math Department placement exam or completion of the appropriate modules of MATH 003.   The course is not open to students majoring in mathematics, engineering, business, life sciences, and the physical sicences, or to students who have completed MATH 140 of MATH 220, or any course for which MATH 140 or MATH 220 is a prerequisite.  Credit will be granted for only one of the following: MATH 110, MATH 112, or MATH 113.
TOPICS Linear equations:
     Coordinates and Graphs
     Linear Functions
     Linear Models
Data Analysis in one and two variables:
     Mean and Median
     Stem and Leaf Plots
     Scatter Plots
     Median-Median Method of Linear Regression
     Ordinary Least Squares Linear Regression
System and linear equations, linear inequalities and linear programming:
     Systems of two linear equations in two unknowns
     Graphing linear inequalities
     Solving linear programming problems graphically
Sets and counting:
     Sets
     The number of elements in a set
Probability:
     Sample spaces and events
     Principles of probability
     Conditional probability and independence
     Expected value
Finance
     Simple interest
     Compound interest
     Annuities and loans
TEXT Click here for Textbook Information.