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.

■ 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)

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

■ demonstrate awareness of key transferable skills, relevant career options, employability value and skills development potential

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.

Students must complete the Moodle course "Your Future: Careers and Employability".