The courses within the Wolfson School of Mechanical, Electrical and Manufacturing Engineering are unique from day one with industry focused content, meaning you can learn the skills and knowledge to build a successful career from the very start. Whilst there are compulsory modules throughout the course, there will be an opportunity for you to specialise in a specific area through your optional module choices during the third year for BEng students, and during the third and fourth years for MEng students. Take a look at some of the modules you may have the opportunity to study below.
Compulsory modules
Core Mathematics
The aim of this module is to introduce a range of mathematical methods appropriate to the needs of first-year engineering students.
Circuit Analysis
The aim of the module is to introduce students to laws, theorems and techniques used to analyse linear electrical circuits and circuits with basic analog electronic components.
Fundamentals of Electrical Engineering
More information to follow.
Programming and Software Engineering
The aim of this module is to develop the theory and practice of software programming in an engineering context.
Digital Systems
The aims of this module is to develop an understanding of the key concepts of electronic logic and how signals and systems are represented on digital platforms.
Applied Engineering
This module aims to:
- Introduce students to engineering as a professional multi-disciplinary activity through problems and challenges that integrate the new knowledge and understanding which is being taught in other modules.
- Provide a problem-based learning environment in which students can respond to design briefs and gain ongoing feedback from teaching and technical staff, as well as each other.
- Provide students with basic project delivery and management skills to develop an engineered solution in a team-based environment.
- Provide students with knowledge of routes to Chartered Engineer Status along with opportunities for their professional career development using the Engineering Council's UK-Specification and Personal Best.
Compulsory modules
Electronics
The aim of the module is to enable students to design and analyse practical analogue and digital electronic circuits and systems.
Project Design and Management
The aims of this module are to:
- Further develop methods and tools required for planning and managing an engineering project.
- Further develop awareness of ethical, environmental and legislative issues regarding engineering projects.
- Further develop skills in electronics, programming and mechanical design and construction.
- Use these in the execution of a research, design and build project in a specialised area of electronic, electrical and mechanical engineering.
Advanced Mathematics 1
The aim of this module is to introduce a range of advanced mathematical methods appropriate to the needs of second year engineering students.
Embedded Systems Programming
The module introduces the principal techniques for developing embedded systems.
Advanced Mathematics 2
The aim of this module is to introduce a range of advanced mathematical methods appropriate to the needs of second year engineering students.
Computer Architecture
The aim of the module is to develop sufficient knowledge of the architecture and organization of computer systems to be able to predict the hardware effects of executing microprocessor instructions.
Optional modules
Communications
The aims of this module are to:
- provide a foundation for telecommunications theory
- provide a theoretical and mathematical basis for the sampling, analysis and processing of signals in communications
- introduce the principles of free space communications links
- take into account regulatory and legal issues with operating in the electromagnetic environment.
Control System Design 1
More information to follow.
Control System Design 2
More information to follow.
Compulsory modules
Individual Project
More information to follow.
Engineering Management: Finance, Law and Quality
The aim of the module is to enable students to understand the financial, legal and quality management principles that apply to the operational management of engineering organisations.
Deployment of Machine Learning Inference Models in loT Devices
The aim of this module is to develop the theory and practice of deploying machine learning (ML) inference models in resource-constrained IoT devices.
Electronic System Design with FPGAs
The aim of this module is to teach students the use of Linux Server Operating Systems, toolchains (e.g., Mentor Graphics) and methodologies commonly used in digital and electronic computing system design targeting Field Programmable Gate Arrays and Systems-on-Programmable-Chips (SoPCs) domains.
Optional modules
Computer Networks
The aim of the module is to provide students with the knowledge in computer networks and security fundamentals including the network infrastructure, protocols, data confidentiality, integrity, availability and trust.
Systems Engineering Applications Theory
The aim of this module are to explore the concepts of advanced systems methods and systems integration and improve the students' confidence and ability to identify, select and apply an appropriate combination of systems methods, tools and processes to tackle systems problems in a group case study, focusing on a system problem requiring innovation and creativity in the design approach.
Embedded Systems Design and Implementation
The aim of the module is to gain knowledge and experience of real-time embedded software design and implementation.
State Space Control
The aim of the module is to provide the students with an understanding of advanced considerations related to control engineering and control implementation via computers.
Cybersecurity for Embedded Systems
The aim of this module is to develop the theory and practice of security challenges and technologies for embedded systems in an engineering context.
Digital Control
The aim of the module is to provide the students with an understanding of advanced considerations related to control engineering and control implementation via computers.
Industrial Machine Vision
The aim of the module is to introduce the student to modern digital image processing methods for image capture, enhancement, segmentation, analysis and machine vision for use in industrial applications.
The information above is intended as an example only, featuring module details for the current year of study. Modules are reviewed on an annual basis and may be subject to future changes – revised details will be published through Programme Specifications ahead of each academic year. Please also see Terms and Conditions of Study for more information.