MATH 215 - Applied Finite Mathematics (3)

The basic linear algebra of matrices used for solutions of large scale systems of linear equations is treated. Applications of matrices such as Leontieff models of multi-sector economics and the basics of the simplex method for solving linear economic optimization problems are discussed. Fundamental concepts of probability including basic combinatorial methods for probabilistic computations are studied. An introduction is given to decision theory. This treatment is in the context of Bayesian or statistical decision theory, though game theoretic versions may be discussed. Possible optional topics may include elementary Markov chains or the matrix algebra of spreadsheet operations.

Grading: Graded/Pass Fail/Audit
Course ID: 55215
Consent: No Special Consent Required
Components: Lecture
Prerequisite/Corequisite: You must have completed MATH 141 or MATH 151 or MATH 155 or MATH 380 with a grade of ‘C’ or better or scored a 5 on the MATH placement exam before you can enroll in this course.