KB7054 - Intelligent Transport Systems

What will I learn on this module?

Intelligent transport systems investigate the interconnected world and how this is leveraged to create smarter, safer, and more efficient transport infrastructure. In this module, you will apply comprehensive knowledge of engineering principles to the solution of complex transport problems facing the modern world. Much of this knowledge will be at the forefront of current understanding, and you will demonstrate a critical awareness of new developments and the wider context of engineering. You will select and apply appropriate analytical and computational techniques to model complex problems, discussing the limitations of these approaches within the context of transport infrastructure.

How will I learn on this module?

Active learning sessions will be used to present you with new material and assist you in exploring key concepts and topics within the module. Sessions will involve a combination of content delivery and practical learning exercises to enable you to apply your learning to authentic engineering problems. A problem-solving focused curriculum will allow you to explore and understand conventional solutions and provide an opportunity for innovative discovery of alternatives. Learning activities will enable students to work collaboratively through the development of teamwork and communication skills, and the encouragement of creative thinking to solve engineering problems.

How will I be supported academically on this module?

During your active learning sessions, academic support will be available to facilitate your exploration of the problem-solving activities. Formative feedback will be provided by the module team, including answering student queries and providing guidance concerning the module such as assessments and your academic progress. The electronic learning platform (eLP) provides a comprehensive resource for integrated learning incorporating learning materials and reading lists that will facilitate directed and self-directed learning. Contact with academic tutors and your peers outside formal teaching hours is encouraged through discussion boards and messaging systems within the eLP. Professional support staff, such as Ask4Help, provide the first point of contact for a range of queries, including, for example, those concerning assessment submission, late submission/extensions, and other administrative issues.

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 a comprehensive knowledge of mathematics, statistics, natural science, and engineering principles to the solution of complex problems related to intelligent transport systems.

Intellectual / Professional skills & abilities:

MLO2. Select and apply appropriate computational and analytical techniques to model complex intelligent transport systems problems, discussing the limitations of the techniques employed.

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

MLO3. Apply creativity and curiosity to formulate and analyse complex problems to reach substantiated conclusions in the subject area of intelligent transport systems, discussing the limitations of the techniques employed.

How will I be assessed?

Formative Assessment

Academic staff on the module will assess you in a formative manner to help build your confidence and highlight any misunderstandings you may have of the theoretical and professional concepts presented in the module. Your formative feedback will be given to you either verbally by academic staff on the module during formally scheduled teaching sessions or using the eLP. Your formative feedback aims to help you learn and prepare for the submission of your summative assessment.

Summative Assessment

Academic staff on the module will assess you in a summative manner by two pieces of assessment:

Component 1 to assess your knowledge and understanding through the application of engineering principles and computational and analytical techniques to model complex problems in intelligent transport systems (MLOs 1 and 2) through completing an industry compatible written submission.

Component 2 will evaluate your ability to apply creativity and curiosity to solve complex problems in intelligent transport systems reaching substantiated conclusions (MLO 3) in an industry compatible written submission.

Feedback will be provided electronically through the eLP or student email within 20 working days of the date of submission.?

Pre-requisite(s)

N/A

Co-requisite(s)

N/A

Module abstract

Intelligent transport systems will investigate the interconnected world and how it is leveraged to create smarter, safer, and more efficient transport infrastructure. In this module, you will apply comprehensive knowledge of engineering principles to the solution of complex transport problems facing the modern world. Much of this knowledge will be at the forefront of current understanding, and you will demonstrate a critical awareness of new developments and the wider context of engineering. In the module, you will conduct research and undertake critical thinking through the application of appropriate knowledge and methodologies to tackle complex problems. Active learning sessions will be used to present you with new material and assist you in exploring key concepts and topics within the module. Sessions will involve a combination of content delivery and practical learning exercises to enable you to apply your learning to authentic engineering problems. The module utilises the electronic learning platform (eLP) to provide a comprehensive resource for integrated learning incorporating learning materials and reading lists that will facilitate directed and self-directed learning.

Course info

UCAS Code H3P6

Credits 20

Level of Study Undergraduate

Mode of Study 4 years full-time or 5 years with a placement (sandwich)/study abroad

Department Mechanical and Construction Engineering

Location City Campus, Northumbria University

City Newcastle

Start September 2022 or September 2023

Fee Information

Module Information

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

Our Campus based courses starting in 2022 and 2023 will be delivered on-campus with supporting online learning content. We continue to monitor government and local authority guidance in relation to Covid-19 and we are ready and able to adjust the delivery of our education accordingly to ensure the health and safety of our students and staff.

On-campus contact time is subject to increase or decrease in line with any additional restrictions, which may be imposed by the Government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors. This could potentially mean increased or fully online delivery, should such restrictions on in-person contact time be required.

 

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