On successful completion of the module, students should be able to:
- Understand the impact of optimization tools in engineering design;
- Understand advanced concepts in systems engineering and how they are impacted by optimization;
- Characterize, model, formulate, and solve engineering and/or technical problems such that mathematical tools of optimization may be applied for comparison of key performance parameters;
- Understand hierarchal systems and interaction of their components and subsystems based coupling and trade-off analysis;
- Undertake independent research, design, development, procurement, operation and/or maintenance in scientific and/or technical engineering fields in optimization and design;
- Understand impact of engineering and/or technical solutions in global context;
- Interact with personnel from industry, laboratories, academic institutions and/or other services regarding system design, maintenance, and operation.
Description of Content
The purpose of the unit is to apply, through advanced project work, the concept of mathematical optimization as applied to system design. Design, in this context, is viewed in the broad sense capturing problems ranging from engineering (technical) design, to plant operations, to complex processes such as civil planning and infrastructure, to financial modelling. The course extends on the concepts and tools introduced in Optimization I and II to complete a rational integration of design methodologies with concepts and techniques of modern optimization theory and practice. The goal is to enable modelling of constraints and processes in system design project such that single and multivariate optimization may be performed to focus on critical measures of performance. It will stress rigorous, quantitative multidisciplinary design methodology that works with the non-quantitative and creative side of the design process. The objective of the course is to implement the tools and methodologies for performing system optimization in a multidisciplinary design context. Focus will be on all: (i) the multidisciplinary character of engineering systems, (ii) the creation of reasonable models of such systems, and (iii) tools for optimization, with emphasis on software and numerical analysis. Students will complete the course conversant with techniques in practice to create appropriate mathematical optimization models and to use analytical and computational techniques to solve them.