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This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students see how statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologies to their field of study. The module teaches students how to think like an engineer when analysing real data. Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineering problems that require the use of statistics.
The course introduces the students to experimental studies in a wide range of subjects. Each experiment is self contained and the student will present the findings in written form through a lab report which will have a set of experiment specific questions to answer. This written report also forms the basis for the assessment. All students work in groups and carry out five experiments which vary according to discipline, however the assignments are all individually submitted. The students keep a log-book of the experimental observations and results, which is used for reference for the technical report from each experiment written-up in the week after the experiment.
The course provides a practical foundation for the use of numerical methods to solve biomedical engineering problems. It will review MATLAB programming techniques and apply these techniques to a range of biomedical engineering problems. By the end of the course students should 1) feel comfortable in a programming environment 2) be able to translate numerical formulations into a program, 3) solve biomedical engineering problems computationally.