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MTHE 393 Assessment
Department of Mathematics and Statistics
Queen’s University
Kingston, Ontario, Canada
04/01/2016
Breakdown of marks
Weekly Reports 5%
Weekly reports are meant to be a concise report detailing the week’s progress on the
project. These reports should be approximately 1/2 a page in length.
Labs 20%
There will be a lab each week for the first 4 weeks of the course, and no subsequent
labs. The labs are geared directly at motivating control approaches to modeling the
‘black box’ system.
Labs shall be e-mailed to Scott (scott [at] mast.queensu.ca) in PDF format by 8:30
pm the day of labs, and named with the convention group[Group Number]-lab[Lab
Number as in manual] i.e. for group 8 submitting lab 6: group8-lab6.pdf.
Interim Report 15%
This report will be due halfway between the beginning of the problem and when the
final report is due. It is not necessary, nor will it be expected to have the problem
solved at this stage. What should be developed is a good model for the problem, as
well as a strong idea on which of your groups several proposed solutions will be your
focus of attention over the next few weeks. More details on exact format and sections
for the interim report will be provided to your group by your teaching assistant.
Final Report 25%
This report will be handed in at some point following your group’s final presentation.
This report can be viewed as a continuation of the interim report with more focus
done explaining your proposed solution, i.e., your model and your control law. For
the modelling, since the model in the box is nondeterministic, provide some estimates
for the range of parameters in which your model lies, i.e., provide tolerances for the
model you obtained. If a control law is obtained, a group might be interested in
providing for their solution. If a solution is not obtained, a group might be interested
in stating possible reasons why a solution was not obtained and what future work
might be done to obtain a solution. More details on exact format and sections for
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the final report will be provided to your group by your teaching assistant.
Final Presentation 20%
Your group’s final presentation will be held at the end of the semester. During the
presentation your group will be expected to provide the model which most accurately
replicates the ‘black box’ system. Note that you can still get a high mark on your
final report even if your final solution does not completely solve the problem. The
professor and the teaching assistant will be looking for a clear thought process behind
the model, as well as confidence during presentation.
Individual Evaluation 15%
Individual evaluation will be assessed both by the professor and teaching assistant,
as well as other group members. At some point after the interim report is handed
in, each group will meet with the professor and teaching assistant to discuss their
project. As well at the end of the course, each student will evaluate him/herself as
well as the other members of the group. The combination of both of these evaluations
will result in the individual evaluation mark.
Expected outcomes
Triple Bottom Line: Economic, Environmental and Social Impacts. There are
various cost/benefit aspects to the project. For example, one controller design might
increase rise-time, but also increase overshoot creating a potentially dangerous output. In order the understand the environmental and social impacts of this project,
your group will be asked to consider various ways in which the controller you develop
in the project might be applied. Some of these applications may have positive, negative, or mixed impacts, and your group will be asked to consider these in a thoughtful
way.
Policy and Ethics. Finding a heuristic model for an unknown system is the same
as Reverse Engineering the system. Describe what reverse engineering is and what
is the motivation behind it. Provide specific examples of a system or object being
reverse engineered and how it was done.
Is reverse engineering legal? Discuss the various ways in which reverse engineering
(and the prevention of reverse engineering) has affected policies, laws and regulations
(in Canada or internationally).
Is reverse engineering someone else’s system or device ethical? Argue why or why
not. Should there be limitations to reverse engineering? Should there be exceptions
where it is allowed?
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