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Math 129 - Pre-Calculus for Management and Social Sciences

Credits: 3

Course Description: This course teaches the algebraic and conceptual skills students need to master before they are ready for MATH 134 or MATH 135. The major part of the course then involves the application of linear, quadratic, and exponential models to problems in management and economics.

Pre-Requisites: A suitable score on the Math placement test B only.

Note: Students intending to take Calculus I and II (MATH 140 and 141) should take MATH 130 instead of MATH 129. Students may take MATH 130 after MATH 129, but only with the explicit permission of the department, and then only for two credits.

Frequency:

book-M129

Current Textbook: Applied Mathematics for the Managerial, Life, and Social Sciences, 4th Edition, by S.T. Tan, published by Brooks/Cole. Check with your instructor to make sure this is the textbook used for your section.


Fall 2008 Schedule:
Section Meeting Time Instructor
1 MW 4:00pm-5:15pm Joan Boorstein
2 TuTh 9:30am-10:45am Thomas Fratto
3 TuTh 9:30am-10:45am Tonyo Poweigha

Topics
Chapter 1:
1.1 Real Numbers.
1.2 Polynomials.
1.3 Factoring Polynomials.
1.4 Rational Expressions.
1.5 Integral Exponents.
1.6 Solving Equations.
1.7 Rational Exponents and Radicals.
1.8 Quadratic Equations.
1.9 Inequalities and Absolute Value.
Chapter 2:
2.1 The Cartesian Coordinate System and Straight Lines.
2.2 Equations of Lines.
2.3 Functions and Their Graphs
2.4 The Algebra of Functions
2.5 Linear Functions
Chapter 3:
3.1 Exponential Functions.
3.2 Logarithmic Functions.
3.3 Exponential Functions as Mathematical Models.
Chapter 4:
4.1 Compound Interest.
4.2 Annuities.
4.3 Amortization and Sinking Funds.
Chapter 5:
5.1 Systems of Linear Equations: An Introduction.
5.2 Systems of Linear Equations: Unique Solution.
5.3 Systems of Linear Equations: Underdetermined and Overdetermined System.
5.4 Matrices.
5.5 Multiplication of Matrices.
5.6 The Inverse of a Square Matrix.
Chapter 6:
6.1 Graphing Systems of Linear Inequalities in Two Variables.
6.2 Linear Programming Problems.
6.3 Graphical Solution of Linear Programming Problems.

 



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