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

The aim of this module is to introduce a range of mathematical methods appropriate to the needs of first-year engineering students.

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.

More information to follow.

The aim of this module is to  develop the theory and practice of software programming in an engineering context.

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.

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

The aim of the module is to enable students to design and analyse practical analogue and digital electronic circuits and systems.

 

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.

The aim of this module is to introduce a range of advanced mathematical methods appropriate to the needs of second year engineering students.

The module introduces the principal techniques for developing embedded systems.

The aim of this module is to introduce a range of advanced mathematical methods appropriate to the needs of second year engineering students.

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

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.

More information to follow.

The aim of this module is to provide comprehensive coverage of the theory of automatic control and its application in the design of plant and processes, focusing on frequency response and PID-type compensators.

Compulsory modules

The aims of this module are for the students to practice an aspect of engineering in a simulated professional situation whereby they:

  • Develop the ability to work individually.
  • Apply knowledge gained in several subject areas in previous years.
  • Exercise initiative, imagination and creativity.
  • Gain experience in project planning, project implementation and communication of outcomes.
  • Demonstrate one or more of the following: analysis and interpretation of data, numerical modelling, use of appropriate problem-solving approaches, use of industry-standard design processes.

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.

The aim of this module is to develop the theory and practice of deploying machine learning (ML) inference models in resource-constrained IoT devices.

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

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.

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.

The aim of the module is to gain knowledge and experience of real-time embedded software design and implementation.

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.

More information to follow. 

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.

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.

Compulsory modules

The aim of this module is to develop student expertise in technical design, planning and management of a multi-disciplinary team engineering research focused project, providing students with an opportunity to consolidate knowledge and skills developed throughout their programme.

The aim of this module is to enable the students to act as mentors for teams that are completing projects in part B.

The aims of this module are to develop the theory and practice of multi/many-core programming in an engineering context.

The aims of this module are to:

  • To present studies on a deep understanding of the specific digital communication technologies critical to IoT systems.
  • To explore the application, strengths, and limitations of various digital communication technologies in IoT.
  • To develop practical skills in designing IoT communication systems using current technologies and protocols.

Optional modules

The aims of this module are:

  • To provide critical overview of statistical methods and machine learning required for analysing data.
  • To develop a systematic and practical understanding of regression and classification analysis.

More information to follow.

The aim of the module is to develop critical understanding of the fundamentals of digital signal processing, as applied to numerous and common-place digital systems, with the use of computer simulation based tools.

The aim of this module is for students to develop an understanding of recent and future applications of robotics with and for humans, with particular emphasis on sport and healthcare applications. The module will analyse several problems and what specific robotic solution are being developed for them, how the solutions are derived, what results are currently achieved and what the next challenges are.

The aims of this module are to:

  • Provide an understanding of advanced electronic engineering applications.
  • Provide insight into practicalities of advanced sensor systems in real world applications using underwater acoustics applications as a case study.

More information to follow.

The core aim of this module is to ensure students are able to take advantage of Machine Learning (ML) techniques to solve practical engineering problems. Towards that end the following aims are established:

  • Provide a base understanding of Machine Learning (ML) in the wider context of Artificial Intelligence (AI).
  • Establish ML approaches and algorithms.
  • Explore ML techniques in practical engineering contexts.
  • Establish the challenges with ML in engineering.
  • Deliver ML solutions in engineering, ensuring proficient use of essential tools for practical 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.