Course Catalogue

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The course consists of the following components:

■ Introduction to advanced programming within an engineering context: classes and object-oriented programming, numerical libraries, working with images and signals, data analysis and plotting, online dashboarding.

■ Presenting scientific data in various formats: plot types (e.g. line, bar, violin plots), fitting, representing big data, distributions.

■ Communication and presentation of ideas in an engineering environment

■  introduction to the basic principles underlying intellectual property management and ideas patenting.

Various lectures and classes timetabled throughout both semesters.

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25% Set Exercise Assessment: Programming Language worksheets (individually)

30% Project output (Other than dissertation): Programming project (individually)

15% Oral assessment and presentation: Presentation delivery (group)

30% Written assignment, including Essay: data analysis and figure preparation (group)

Reassessments are normally available for all courses, except those which contribute to the Honours classification. Where, exceptionally, reassessment on Honours courses is required to satisfy professional/accreditation requirements, only the overall course grade achieved at the first attempt will contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

It is not possible to offer reassessment for group assignments:

Oral assessment and presentation

Written assignment, including Essay

The aims of this course are to:

■ develop an understanding of the use of computing in addressing and solving engineering problems, and provide a deeper understanding of how engineering problems can be framed in a computing context;

■ develop a logical top-down problem solving approach to this process in order to be able to write well-structured programming solutions;

■ provide an overview of the current open-source programming tools to address general Biomedical Engineering problems (e.g. image processing, data analysis and plotting).

■ provide the experience of working on a project in a group environment on a design problem relevant to the contemporary Biomedical Engineer;

■ provide the opportunity for development of scientific speechwriting, slides preparation and delivering specialisation;

■ develop an understanding of the relevance of confidentiality and the process of intellectual property management at the interface between academia and industry.

By the end of this course students will be able to:

■ solve problems using a modern programming language (e.g., Python) and develop its use as a tool in solving familiar Biomedical engineering problems;

■ analyse a problem, adopt a logical step-wise approach to its solution and be able to formalise this solution within the programming environment;

■ work successfully with colleagues to address a state of art biomedical engineering problem;

■ demonstrate ability of designing a presentation and preparing an effective delivery using modern tools;

■ present data in a visual and interactive interface;

■ demonstrate the use of the licensing framework of published figures and data, and how this impacts their usage and reproducibility in the academic context

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.

Students must attend the timetabled laboratory classes and the seminars