KB5012 - Mathematics and Computing

What will I learn on this module?

This module provides an introduction to the concepts of scientific computing, numerical methods (used for the solution of mathematical problems encountered in engineering), data analysis and visualisation. You will begin by learning basic coding and programming concepts. You will make use of web-based interactive notebooks, which allow live code development, equations, visualizations and narrative text. You will apply your programming skills to analyse, plot, and visualise appropriate datasets from structural engineering problems in the workplace or linked to research at the University. You will be introduced to numerical methods that are used for the solution of structural engineering and other relevant problems.

How will I learn on this module?

Most of your learning on this degree apprenticeship module will be in your workplace. Your involvement in civil engineering tasks will enable you to put into context the theoretical material that you will study at University, thereby cementing your understanding. You will do this in conjunction with your workplace mentor/Supervising Civil Engineer, appropriate members of your team, and with the assistance of your University workplace coach.

The module will include a range of learning materials and opportunities, such as online presentations, notes, seminar/tutorial questions, video links and digital reading materials. All these resources will be arranged in a convenient learning journey, giving you a clear expectation of the content to be studied and tasks you will complete on a weekly basis.

How will I be supported academically on this module?

During your normal working day, your industrial mentor/Supervising Civil Engineer will support your learning through the allocation of appropriate work tasks relevant to the theoretical content of the module, allowing you to contextualise and cement your knowledge. The University will monitor this educational process.

University academic staff will support you in formally-scheduled teaching. This arrangement will give you ample opportunity to ask questions to clarify and deepen your understanding of the module content, as well as to seek specific help, for example, with your preparation for assessment. At other times, you will have access to University academic staff via telephone, email, and the University’s virtual learning environment (VLE). These media will allow you to access and make full use of the support and guidance available to you.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:
MLO1: Apply various digital tools to analyse and design or manage civil engineering components and systems.

Intellectual / Professional skills & abilities:
MLO2: Apply quantitative and computational methods to design and implement solutions civil engineering problems.

MLO3: Apply mathematical, scientific and engineering principles to analyse the behaviour of examples of civil engineering and systems.

MLO4: Apply mathematical, scientific and engineering principles to model examples of processes involved in civil engineering construction.

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

How will I be assessed?

Summative assessment will be by coursework. It will be worth 100% of the module marks and will cover all the module learning outcomes.

Formative assessment (sometimes from occasional homework tasks) will be by verbal or written (digital) support from University academic staff. In line with the workplace approach of a degree apprenticeship, you will be expected to take on-board verbal feedback from your workplace mentor/Supervising Civil Engineer, which is the case generally with employee performance.

Assessment feedback will be mapped between summative assessments from different modules, so that you receive clear guidance on improving work, based on performance in assessments in different modules. This will be made explicit to you via digital pro-forma as well as verbally.

Pre-requisite(s)

Successful completion of Level 4 of the BEng (hons) Civil Engineering Degree Apprenticeship

Co-requisite(s)

N/A

Module abstract

New digital technologies are transforming civil engineering in areas such as smart infrastructure, real-time monitoring, and automation. Therefore graduate civil engineers must have skillsets that include engineering data science, modelling and numerical techniques, as well as scientific programming. In this module, you will learn skills in developing code to solve structural engineering and other relevant problems. You will also learn some of the mathematical principles underlying the numerical methods used in computer solutions. Applications will come directly from examples in your workplace or be linked to research at the university.

Course info

Credits 20

Level of Study Undergraduate

Mode of Study 5 years Part-Time

Department Mechanical and Construction Engineering

Location City Campus, Northumbria University

City Newcastle

Start September 2021 or September 2022

Fee Information

Module Information

All information on this course page is accurate at the time of viewing.

Courses starting in 2021 are offered as a mix of face to face and online learning. We continue to monitor government and local authority guidance in relation to Covid-19 and we are ready and able to flex accordingly to ensure the health and safety of our students and staff.

Contact time is subject to increase or decrease in line with additional restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors, potentially to a full online offer, should further restrictions be deemed necessary in future.

Our online activity will be delivered through Blackboard Ultra, enabling collaboration, connection and engagement with materials and people.

 

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