MCCCD Program Description

Finite Mathematics

Course: MAT172

First Term: 2023 Fall

Lecture 3.0 Credit(s) 3.0 Period(s) 3.0 Load
Subject Type: Academic
Load Formula: S

Description: An introduction to the mathematics required for the study of social and behavioral sciences. Includes combinatorics, probability, descriptive statistics, matrix algebra, linear programming and the mathematics of finance. Includes applications of technology in problem-solving

MCCCD Official Course Competencies
1. Solve linear systems with two and three equations using various matrix methods. (I) 2. Use technology to solve application problems. (I, II, III, V) 3. Solve systems of linear inequalities using linear programming. (II) 4. Solve problems related to financial applications. (III) 5. Solve counting problems using various counting techniques. (IV) 6. Solve probability applications. (V, VI) 7. Use descriptive statistics to analyze data sets. (VI)
MCCCD Official Course Competencies must be coordinated with the content outline so that each major point in the outline serves one or more competencies. MCCCD faculty retains authority in determining the pedagogical approach, methodology, content sequencing, and assessment metrics for student work. Please see individual course syllabi for additional information, including specific course requirements.

MCCCD Official Course Outline
I. Systems of linear equations and matrices A. Matrices applied to a system of linear equations B. Inverse matrices and their applications to solve a system of linear equations C. Solving systems of linear equations using the Gauss-Jordan and elimination methods II. Linear programming A. Graphing systems of linear inequalities B. Solving and interpreting linear programming applications in two dimensions using graphical techniques C. Using the Simplex method to solve and analyze maximum and minimum linear programming applications III. The Mathematics of Finance A. Simple interest B. Compound interest C. Annuities D. Amortization IV. Combinatorics A. Sets and Venn diagrams B. Fundamental principle of counting C. Permutations and combinations V. Probability A. Fundamental concepts B. Conditional probability and independent events C. Applications of Bayes` Theorem D. Binomial applications VI. Statistics A. Measures of central tendency B. Standard deviation C. Normal distributions

MCCCD Governing Board Approval Date: 2/24/2004

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.