Catalog Course Search Details

 Department:    MATH&

 Course #:    107

 Credits:    5

 Variable:     No

 IUs:    5

 CIP:    270101

 EPC:    n/a

 REV:    2019

 Course Description  

A terminal course in mathematics for non-math or non-science majors. The course fulfills the quantitative reasoning requirement for the AA-DTA degree and for transfer. Topics may include logic, probability, statistics, geometry, modeling, linear algebra, finance, trigonometry, problem solving, and the history of mathematics. A graphing calculator may be required.

 Prerequisite  

Prerequisite: MATH 98 with a grade of C or higher, or equivalent math placement score.

Contact Hours (based on 11 week quarter)

Lecture: 55

Lab: 0

Other: 0

Systems: 0

Clinical: 0

Intent: Distribution Requirement(s) Status:  

Academic Natural Sciences, Quantitative  

Equivalencies At Other Institutions

Learning Outcomes

After completing this course, the student will be able to:

1. Construct and interpret appropriate display of data.
2. Recognize evaluate, and perform statistical reasoning.
3. Demonstrate an understanding of pervasive use and misuse of statistics in our society.
4. Use modeling to solve problems in economics, communications, group dynamics, and other real world situations.
5. Explore mathematics through art, computers, and the use of a graphing calculator.
6. Apply alternative mathematical techniques, from a historical perspective, where appropriate.
7. Understand how mathematics is used in other fields and occupations.
8. Understand the use of mathematics cross-culturally.

General Education Learning Values & Outcomes

Revised August 2018 and affects outlines for 2019 and later.

Quantify

Definition: Apply mathematical skills quantitatively, logically, creatively, and critically.

Course Contents

1. Statistics: descriptive statistics; statistical reasoning
2. Probability
3. Geometry
4. Metrics: algebra; linear systems; Markov chains, linear programming; simple game theory
5. Graph Theory: problems; the modeling process; graphs and diagraphs; matrices and graph theory
6. Boolean Algebra: logic; digital circuits; sets
7. Functional Models: linear models; quadratic models; exponential models; limits; difference equation
8. Games and Decision
9. Art
10. History
11. Finance
12. Trigonometry