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Supplemental
Module Descriptions
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Modules
to Complement Your Courses
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Case
studies are grouped by discipline into modules to provide supplemental
real-world problem solving for various quantitative courses. Please
click on one of the modules below to learn more about that module.
We
offer brief demos of each case study below, in addition there
is a full length interactive case study
available for your review. Please allow 30 minutes to register
and complete the full length case study.
With all ThinkSharp case studies, access is easy. Participants
only need a computer and an Internet connection. To view specific
technology requirements, visit our Technology Requirements page
or let us check your system automatically!
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Statistical
and Graphical Analysis
Students
face five case studies from medicine as they learn mean, median,
stem leaf diagram, box plot, scattergram, normalization, standard
deviation, and state vectors.
(Statistical and Graphical Analysis Module cost to student - $19.95)
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| ECMO:
Newborn Hope |
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Students
determine criteria for assigning newborns to heart lung bypass
surgery as they learn exploratory data analysis techniques.
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| Air
Tragedy: Surviving the Crash |
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Students
predict survival probabilities as they analyze airplane crash
data.
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| Setting
the Standard Part 1 |
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Students
recreate and extend medical research for the standardization
of care in the ICU as they learn state vectors and standard
deviation.
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| Setting
the Standard Part 2 |
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Students
further this landmark research as they learn glyphs.
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| A
Picture of Recovery |
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Students
determine the advantages of scar removal for burn victims
as they learn a powerful, graphical technique for multivariate
data analysis.
Back
to top
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Optimization I: Linear Programming,
Dynamic Programming, and Algebraic Modeling
Students
face five case studies from varied industries as they model
workplace problems algebraically and solve them using powerful
optimization methods. Linear programming software is included
to download.
(Optimization I Module cost to student - $24.95)
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| Paving
the Way |
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Students
use linear programming and sensitivity analysis to determine
the best mix of raw materials to make asphalt that satisfies
the state regulations.
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| Securing
the Nation |
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Students
schedule security guards at a government facility in this
integer programming application.
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| The
Great Cover Up |
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Students
learn dynamic programming to select covers for plants in this
disguised military weaponry problem.
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| Insuring
Your Success |
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Students
assign employees to departments to maximize their contribution
in this dynamic programming application.
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| A
Picture of Recovery |
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Students
determine the advantages of scar removal for burn victims
as they learn a powerful, graphical technique for multivariate
data analysis.
Back
to top |
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Optimization
II: Other Methods of Optimization
Students
face four case studies from varied industries as they determine
the cheapest or best in these optimization problems featuring simple
methods: chromatic number, the Welsh Powell algorithm, Kruskal's
method, search theory, and Dijkstra's method.
(Optimization
II Module cost to student - $19.95)
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| Schedule
This |
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Students
use graph theory techniques including the Welsh Powell method
and chromatic number to schedule college make-up exams such
that no student has a conflict.
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| Networking
Your Health |
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Students
use Kruskal's method to determine the least-cost design of
a wide area network for connecting hospitals.
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| Search
for Oil |
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Students
evaluate geological data as they order the search of various
sites for oil using optimization techniques from search theory.
They are also challenged to use these methods to diagnose
machine failures.
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Fighting
Time
Through this facility location problem, students learn
the Dijkstra method, the optimal method for determining the
quickest route in a network. |
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| Back
to top |
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Network
Analysis
Students
face four network design and analysis problems featuring simple methods
including the chromatic number, the Welsh Powell algorithm, Kruskal's
Method, Dijkstra's method, and a greedy method.
(Network
Analysis Module cost to student - $19.95)
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Networking
Your Health
Students
use Kruskal's method to determine the least cost design of
a wide area network for connecting hospitals.
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Schedule
This
Students
use graph theory techniques including the Welsh Powell method
and chromatic number to schedule college make-up exams such
that no student has a conflict. |
|
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Power
Students create an emergency energy contingency plan as
they determine how to reroute energy from a power plant in
Texas, using a variation of a greedy algortithm. |
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Fighting
Time
Through
this facility location problem, students learn the Dijkstra
method, the optimal method for determining the quickest route
in a network.
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| Back
to top |
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Decision
Analysis I
Four
case studies provide broad exposure to decision-making methods
including analytical hierarchy process, simulation, queuing, search
theory, and exploratory data analysis methods such as stem leaf,
box plots, scattergrams, and decision region.
(Decision
Analysis I Module cost to student - $19.95)
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No
Time to Wait
Queuing
theory and simulation enable students to evaluate the staffing
needed for various levels of customer service at a post office.
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Decisions
Made Easy: Analytical Hierachy Process
Students
are challenged to determine the winner of a student athlete
award based upon achievement in three areas -- academics,
athletics and community service -- as they learn analytical
hierarchy process. |
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Search
for Oil
Students evaluate geological data as they order the search
of various sites for oil using optimization techniques from
search theory. They are also challenged to use these methods
to diagnose machine failures. |
|
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ECMO:
Newborn Hope
Students
use exploratory data analysis techniques to determine criteria
for assigning newborns to heart lung bypass therapy.
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| Back
to top |
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