|
This course is designed to sharpen students' decision
making and critical
thinking skills. Students are
taught concepts that form a personal decision-making
toolkit. They are asked to analyze data and solve
real-world problems encountered in the workplace.
Students will solve problems in the fields of business,
industry, medicine, technology, and the military.
Concepts covered include exploratory
data analysis,
indices, optimization, probability, statistics, modeling,
and simulation. This course uses collaborative learning
(small-droup discussions and
assignments) and interactive
technology (online case studies
and assessments).
|
Upon completion of the course, students will be able
to solve problems using mathematical methods, think critically
to solve workplace problems, and appreciate the relevance
of mathematics in decision making. Students will be prepared
for success in mathematics, as well as other disciplines
and everyday life.
Students will be able to
draw inferences from formulas, graphs, tables, and schematics
represent data symbolically, visually, numerically, and verbally
use arithmetic, algebraic, geometric, and statistical methods to solve problems
estimate and check answers to problems in order to determine resonableness, identify alternative, and select optimal results
recognize that all mathematical and statistical methods have limitations
|
This course is taught using problem-based learning, delayed
revelation, and cooperative learning.
| In most math classes, the teacher demonstrates how to solve a problems, and students
learn by solving similar problems. |
In this course, you will be presented with
a problem and, as a small group, allowed to solve it
in any manner learned previously or invented by the group.
No methods that yield a feasibility solution are wrong
and creativity is rewarded.
Cooperative learning - You will be assigned to small
groups. You will work as a team with your group to simulate
teamwork in business and industry. |
