Difference between revisions of "Math 118: Finite Mathematics"
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=== Description === | === Description === | ||
| − | + | Description: This course studies the basic elements and applications of finite mathematics. The first half of the class covers the language of set theory, principles of counting and combinatorics, probability theory for equally likely outcomes, elementary stochastic processes, conditional probabilities, and repeated experiments. The concept of a random variable is developed, along with expectation and variance. The second half of the class explores systems of linear equations and matrix algebra, linear programming, and Markov chains. This course considers a broad range of applications in business, the life sciences, and the social sciences. | |
== Desired Learning Outcomes == | == Desired Learning Outcomes == | ||
Revision as of 18:22, 28 January 2011
Contents
Catalog Information
Title
Finite Mathematics
(Credit Hours:Lecture Hours:Lab Hours)
(3:0:3)
Offered
Fall, Winter
Prerequisite
Math 110
Description
Description: This course studies the basic elements and applications of finite mathematics. The first half of the class covers the language of set theory, principles of counting and combinatorics, probability theory for equally likely outcomes, elementary stochastic processes, conditional probabilities, and repeated experiments. The concept of a random variable is developed, along with expectation and variance. The second half of the class explores systems of linear equations and matrix algebra, linear programming, and Markov chains. This course considers a broad range of applications in business, the life sciences, and the social sciences.
Desired Learning Outcomes
???
Prerequisites
Minimal learning outcomes
Textbooks
Possible textbooks for this course include (but are not limited to):
Additional topics
???
