| Searching Current Courses For Fall 2023 |
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Course: |
MAT 1320
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Title: | Finite Mathematics: MA1 |
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Long Title: | Finite Mathematics: GT-MA1 |
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Course Description: | Covers topics including functions, matrix algebra, linear programming, and an introduction to probability and counting techniques. Emphasis is on applications. This course may include other topics such as statistics when time permits. This course is primarily intended for business, life science, or social science majors.
This is a statewide Guaranteed Transfer course in the GT-MA1 category. |
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Min Credit: | 4 |
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Max Credit: | |
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Origin Notes: | ACC |
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Course Notes: | updated new GT language 8/8/18 dl |
For REQUIRED SYLLABUS information that is to be included on all syllabi starting Spring 2018, 201830 go to https://internal.cccs.edu/wp-content/uploads/documents/GT-MA1-Required-Syllabus-Info.docx.:
1. Solve linear equations and inequalities using appropriate techniques
2. Analyze the graph of functions
3. Solve linear systems
4. Solve linear programming problems graphically
5. Apply basic probability concepts
6. Analyze exponential and logarithmic functions
7. Solve application problems related to simple and compound interest
Required Topical Outline
I) Solve linear equations and inequalities using appropriate techniques
a. Linear equations
b. Linear inequalities
c. Solve application problems using linear regression.
II) Analyze the graph of functions.
a. Functions notation, domain, range, difference quotient, transformation, piecewise functions
b. Quadratic functions
c. Applications of quadratic functions
d. Polynomials and rational functions
III) Solve linear systems.
a. System of two equations in two variables
b. Matrices (perform matrix operations, solving linear systems using Gauss-Jordan and matrix equation)
IV) Solve linear programming problems graphically
a. Graphing a linear inequality with two variables
b. Graphing a system of inequalities in 2 variables
c. Solving linear Programing problems graphically
V) Apply basic probability concepts
a. Sets
b. Basic counting principles
c. Permutation and combinations
d. Probability of events
e. Empirical probability
f. Probability of the union and intersection
g. Conditional probability
h. Bayes' formula
i. Probability distribution
VI) Analyze exponential and logarithmic functions
a. Exponential functions
b. Logarithmic functions
VII) Solve application problems related to simple and compound interest
a. Simple interest
b. Compound interest
c. Future value
d. Present Value
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Arapahoe Community College |
ACC |
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Community College of Aurora |
CCA |
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Colorado Community College Sys |
CCCS |
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Community College of Denver |
CCD |
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Colorado Northwestern CC |
CNCC |
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Front Range Community College |
FRCC |
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Lamar Community College |
LCC |
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Morgan Community College |
MCC |
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Northeastern Junior College |
NJC |
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Otero College |
OJC |
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Pueblo Community College |
PCC |
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Pikes Peak State College |
PPCC |
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Red Rocks Community College |
RRCC |
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Trinidad State College |
TSJC |
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