UW Colleges
Department of
Mathematics
Course Guidelines
Course Title: Quantitative Reasoning___
Course No: _MAT 108_ No. of
Credits __3___
Contact hrs/wk: Lecture __3_ Lecture/Discussion
Lab
Course Prerequisites: A course in plane geometry and one of the
following:
a)
Two years of high school algebra
b)
A grade of C or better in MAT 105
c) Course(s)
equivalent to a) or b).
Catalog description: This course is intended to develop analytic reasoning
and the ability to solve quantitative problems. Topics to be covered
include construction and interpretation of graphs, functional relationships,
descriptive statistics, geometry and spatial visualization, math of finance,
exponential growth, and basic probability. Appropriate use of units and
dimensions, estimates, mathematical notation and available technology will be
emphasized throughout the course.
Course content (list of topics normally covered).
1.
Units and unit conversions
2.
Methods of representing functions
including graphs, formulas and tables.
3.
Geometry and spatial visualization,
including perimeter, area, volume, as well as a brief development of the basic
trigonometric functions
4.
Mathematics of finance including simple,
compound and continuously compounded interest, annuities, types of loans with
the time value of money as a unifying theme
5.
Exponential growth and decay.
Logarithms will be developed as needed
6.
Basic probability including independence,
developed on an informal level
7.
Descriptive statistics including sampling
methods, experiments, charts and tables, and the concepts and some measures of
center and variability.
8 Numerical concepts and estimation
including percentages, scientific
notation
and significant digits
9. At least two more topics selected from the
following:
- Fitting a curve
to a data set, linear regression, curves based on data
- The use of two
and three-dimensional coordinate systems and the concept of a vector.
- Linear and
exponential modeling
- Surface area of
geometric figures
- Standard deviation or other
additional topics in statistics or probability
Content-based department
proficiencies:
The successful student will
understand:
· Basic concepts of unit conversion
· Elementary practical applications of exponential
growth and decay models, including compound interest
· Elementary applications of descriptive statistics
· The general ideas which support the concepts of center
and variability of data
Colleges-wide
proficiencies assigned to course:
Students should
be able to demonstrate the following:
A.
Analytical skills Performance
Indicators: Students should be able to:
1. Interpret and
synthesize information and ideas.
4. Select and
apply scientific and other appropriate methodologies.
B. Quantitative
skills Performance
Indicators: Students should be able to:
1. Solve
quantitative and mathematical problems.
2. Interpret
graphs, tables, and diagrams.
Representative textbooks
used for the courses:
· Quantitative Reasoning-Greenleaf, Pub: McGraw Hill
· Using and Understanding Mathematics- Bennett
and Briggs, Pub: Addison-Wesley
Approved
April
22, 2006