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Math 1160 Finite Mathematics and
an Introduction to Calculus
Credits: 5
Prerequisites: Math ACT 23 or higher or a grade of at least C- in Math 1005 or dept consent; Credit will not be granted if credit has been received for: 1290, 1296, 1596
Grading: A-F only
Liberal Education Category:
Category Satisfied: CATEGORY TWO: Math, Logic and Critical Thinking
Liberal Education Goals and Objectives: This course introduces students
to mathematics essential to business and economics majors. Topics include
functions, systems of linear equations, linear programming and the calculus
and their role in modeling real-world problems.
Course Description:
This course introduces the concepts of mathematics used in business,
social sciences, and life sciences. It covers functions,matrices,
determinants, graphical and algebraic methods for solving systems of
linear equations and inequalities, an introduction to linear
programming and an applied introduction to the calculus.
Text: Finite Mathematics and Applied Calculus, Fourth Edition. Author: Waner and Costenoble.
Required: TI 83/84 Graphing Calculator. Microsoft Excel (available from Campus Computer Corner)
Course Content:
| Chapters |
Sections |
| 1 Functions and Linear Models |
1.1 Numerical and Algebraic Viewpoints
1.2 Graphical Viewpoint
1.3 Linear Functions
1.4 Linear Models |
| 2 Systems of Linear Equations and Matrices |
2.1 Systems of Two Equations in Two Unknowns
2.2 Using Matrices to Solve Systems
2.3 Applications of Systems |
| 3 Matrix Algebra and Applications |
3.1 Matrix Addition and Scaler Multiplication
3.2 Matrix Multiplication
3.3 Matrix Inversion |
| 4 Linear Programming |
4.1 Graphing Linear Inequalities
4.2 Solving Linear Programming Problems Graphically
4.3 Simplex Method for Standard Maximization Problems |
| 5 Mathematics of Finance |
5.1 Simple Interest
5.2 Compound Interest
5.3 Annunities Loans and Bonds |
| 9 Nonlinear Models |
9.1 Quadratic Functions and Models
9.2 Exponential Functions and Models
9.3 Logorithmic Functions and Models
9.4 Logistic Functions and Models |
| 10 Introduction to the Derivative |
10.1 Limits: Numerical and Graphical Approaches
10.2 Limits and Continuity
10.3 Limits: Algebraic Approach
10.4 Average Rate of Change
10.5 Derivatives: Numerical and Graphical Approaches
10.6 Derivatives: Algebraic Approach
10.7 Derivatives of Powers, Sums, and Constant Multiples
10.8 Marginal Analysis |
| 11 Techniques of Differentiation |
11.1 The Product and the Quotient Rules
11.2 The Chain Rule
11.3 Derivatives of Logarithmic and Exponential Functions
11.4 Implicit Differentiation |
| 12 Applications of the Derivative |
12.1 Maxima and Minima
12.2 Applications of Maxima and Minima
12.3 The Second Derivative and Analyzing Graphs
12.4 Related Rates
12.5 Elasticity |
| 15 Functions of Several Variables |
15.1 Functions of Several Variables from the Numerical and Algebraic Viewpoints
15.2 Three-Dimensional Space and the Graph of a Function of Two Variables
13.3 Partial Derivatives |
| 13 The Integral (if time) |
13.1 The Indefinite Integral
13.2 Substitution
13.3/4 The Definite Integral |
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The University of Minnesota is an equal opportunity educator and employer.
This web page is maintained by the Department of Mathematics and Statistics,
and was last updated April 16th, 2008. Send comments to
math@d.umn.edu.
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