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In the following are the courses offered by the University
of Waterloo NSERC-UNENE Industrial Research Chair as part of the UNENE curriculum.
Please check back here for announcements regarding course scheduling (i.e.
detailed times and locations etc.).
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UN 0700 - Industrial Research Project
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If they so elect, candidates for the M. Eng. (Nuclear Engineering) Degree
under UNENE may spend approximately four months in an industrial laboratory
carrying out an industry-oriented project under the supervision of a
suitably qualified staff scientist. Usually there is also a university co-supervisor.
The Department of Civil Engineering will attempt to arrange an industrial project in
consultation with the candidate and through negotiation with the candidate’s employer.
A satisfactory project topic and appropriate arrangements are required for the project
to be approved by the Department and it is possible that in some cases this may not be feasible.
Upon completion, the candidate will submit a substantial report on the project and make
a presentation on it at the university. The industrial research project can only be
undertaken after at least half the required courses have been taken.
The industrial research project counts as two half courses.
This course presents a broad treatment of the subject of engineering decision,
risk, and reliability. Emphasis is on
- the modelling of engineering problems and evaluation of systems performance
under conditions of uncertainty;
- risk-based approach to life-cycle management of engineering systems;
- systematic development of design criteria, explicitly taking into account
the significance of uncertainty; and
- logical framework for risk assessment and risk-benefit tradeoffs in
decision making.
The necessary mathematical concepts are developed in the context of engineering problems.
The main topics of discussion are: probability theory, statistical data analysis,
component and system reliability concepts, time-dependent reliability analysis,
computational methods, life-cycle optimization models and risk management in public policy.
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