#### 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.

#### Prerequisites

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