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Curricular information is subject to change
On completion of the course a student will be able to:
1. Understand how engineering design decisions should be performed and the need for a rationale of assessment for engineering decisions;
2. Understand how a wide range of factors and decision makers may have influence on the performance of engineering systems;
3. Construct robust and appropriate criteria for assessing design alternatives;
4. Construct extensive lists of possible alternative solutions for a given design problem;
5. Construct and implement simple models of dynamical systems representing design alternatives from verbal descriptions to quantitative predictions of performance;
6. Calculate optimal solutions to engineering problems using both linear and nonlinear methods as applicable;
7. Assess and apply appropriate multi-criteria decision methods and understand the need of a decision-maker to work with multiple indicators;
8. Understand when the tools of systems analysis are appropriate and have the confidence to apply them.
9. Understand the importance of systems analysis in the achievement of the SDGs.
10. Be able to characterize a systems problem, and solve it using adequate computational-aided techniques.
Students in CVEN4007W will also learn the importance of computational tools in the management of engineering systems. Students will be introduced to the importance of mathematical modelling and coding in the analysis of engineering systems, and development of decision-making schemes.
A student of Civil Engineering Systems will study:
1. Introduction to Systems Analysis.
2. Decision makers and the importance of measures of effectiveness;
3. Assessment criteria;
4. Generation of alternative solutions and the role of probability and statistics;
5. Mathematical characterization of a systems problem;
6. Modelling and Simulation;
7. Linear and nonlinear optimization;
8. Modelling of discrete and continuous systems
9. System dynamics
10. Multi-criteria decision analysis;
In Civil Engineering Systems, a system of interest will be evaluated in the module through group work, where the knowledge acquired should be applied in the evaluation of this system.
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Autonomous Student Learning | 120 |
Total | 156 |
This module is for CDIC students only.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Project: Analysis and reporting of system of interest. | Throughout the Trimester | n/a | Graded | No | 45 |
Presentation: Presentation of preliminary system of interest. | Throughout the Trimester | n/a | Graded | No | 10 |
Examination: 1 hour End of Trimester MCQ Exam | 1 hour End of Trimester Exam | No | Graded | No | 30 |
Group Project: Group-peer Review and Self-Assessment Report | Throughout the Trimester | n/a | Graded | No | 15 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Group/class feedback, post-assessment
• Peer review activities
Group feedback lectures will be organised during the semester in order to guide the development of each group's system of interest.