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Applied Finite Mathematics (col10613)
Keywords: applied finite mathematics, math
Summary: Applied Finite Mathematics covers topics including linear equations, matrices, linear programming, the mathematics of finance, sets and counting, probability, Markov chains, and game theory.
Subject: Mathematics and Statistics
Language: English
Popularity: 94.63%
Revised: 2011-07-16
Revisions: 5
Applied Finite Mathematics: Practice Exam (m18911)
Summary: This module contains the practice final exam for Applied Finite Mathematics.
Subject: Mathematics and Statistics
Language: English
Popularity: 70.19%
Revised: 2011-07-15
Revisions: 2
Game Theory (m18910)
Keywords: game theory, mixed strategy
Summary: This chapter covers principles of game theory. After completing this chapter students should be able to: solve strictly determined games and solve games involving mixed strategies.
Subject: Mathematics and Statistics
Language: English
Popularity: 47.98%
Revised: 2011-07-15
Revisions: 2
Linear Equations (m18901)
Keywords: applications, graphing linear equations, linear equations, linear systems, slope
Summary: This chapter covers principles of linear equations. After completing this chapter students should be able to: graph a linear equation; find the slope of a line; determine an equation of a line; solve linear systems; and complete application problems using linear equations.
Subject: Mathematics and Statistics
Language: English
Popularity: 78.05%
Revised: 2011-07-14
Revisions: 2
Linear Programing: The Simplex Method (m18904)
Keywords: linear programming, matrices, maximization, minimization, simplex method
Summary: This chapter covers principles of the simplex method to Linear Programming. After completing this chapter students should be able to: solve linear programming maximization problems using the simplex method and solve the minimization problems using the simplex method.
Subject: Mathematics and Statistics
Language: English
Popularity: 60.92%
Revised: 2011-07-14
Revisions: 2
Linear Programming: A Geometric Approach (m18903)
Keywords: linear programming, matrices, objective function
Summary: This chapter covers principles of a geometrical approach to linear programming. After completing this chapter students should be able to: solve linear programming problems that maximize the objective function and solve linear programming problems that minimize the objective function.
Subject: Mathematics and Statistics
Language: English
Popularity: 54.17%
Revised: 2011-07-14
Revisions: 2
Markov Chains (m18909)
Keywords: Absorbing Markov Chains, Markov Chains, matrices, Regular Markov Chains, trends
Summary: This chapter covers principles of Markov Chains. After completing this chapter students should be able to: write transition matrices for Markov Chain problems; find the long term trend for a Regular Markov Chain; Solve and interpret Absorbing Markov Chains.
Subject: Mathematics and Statistics
Language: English
Popularity: 44.10%
Revised: 2011-07-15
Revisions: 2
Mathematics of Finance (m18905)
Keywords: annuities, compound interest, finances, loan payments, simple interest, sinking funds
Summary: This chapter covers principles of finance. After completing this chapter students should be able to: solve financial problems that involve simple interest; solve problems involving compound interest; find the future value of an annuity; find the amount of payments to a sinking fund; find the present value of an annuity ... a loan.
Subject: Mathematics and Statistics
Language: English
Popularity: 78.61%
Revised: 2011-07-14
Revisions: 2
Matrices (m18902)
Keywords: Gauss-Jordan method, linear systems, matrices, matrix inverse method, matrix operations
Summary: This chapter covers principles of matrices. After completing this chapter students should be able to: complete matrix operations; solve linear systems using Gauss-Jordan method; Solve linear systems using the matrix inverse method and complete application problems.
Subject: Mathematics and Statistics
Language: English
Popularity: 55.95%
Revised: 2011-07-14
Revisions: 2
More Probability (m18908)
Keywords: Bayes' Formula, binomial, probability, tree diagrams
Summary: This chapter covers additional principles of probability. After completing this chapter students should be able to: find the probability of a binomial experiment; find the probabilities using Bayes' Formula; find the expected value or payoff in a game of chance; find the probabilities using tree diagrams.
Subject: Mathematics and Statistics
Language: English
Popularity: 64.76%
Revised: 2011-07-15
Revisions: 2
Probability (m18907)
Keywords: addition rule, combinations, conditional probability, independence, mutual exclusion, probability, spaces, tree diagrams
Summary: This chapter covers principles of probability. After completing this chapter students should be able to: write sample spaces; determine whether two events are mutually exclusive; use the addition rule; calculate probabilities using tree diagrams and combinations; solve problems involving conditional probability; determine whether two events are independent.
Subject: Mathematics and Statistics
Language: English
Popularity: 50.68%
Revised: 2011-07-14
Revisions: 2
Sets and Counting (m18906)
Keywords: binomial theorem, combinations, counting problems, multiplication axiom, permutations, set theory, venn diagrams
Summary: This chapter covers principles of sets and counting. After completing this chapter students should be able to: use set theory and venn diagrams to solve counting problems; use the multiplication axiom to solve counting problems; use permutations to solve counting problems; use combinations to solve counting problems; and use the binomial theorem to expand x+y^n.
Subject: Mathematics and Statistics
Language: English
Popularity: 63.84%
Revised: 2011-07-14
Revisions: 2
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