Artificial Intelligence and RoboticsBEng (Hons)

Communications Engineering

Communications Engineering is essential across various industries, facilitating seamless data transmission, networking, and real-time communication. In telecommunications, it serves as the foundation for mobile networks, fibre-optic communication, satellite communication, and broadband infrastructure, enabling global voice, video, and data transmission. In healthcare, it supports telemedicine, remote patient monitoring, and electronic health records (EHRs) by ensuring secure and efficient communication between healthcare providers and patients.

This module introduces fundamental concepts in Information and Communication Technology (ICT), providing students with a clear understanding of its principles and real-world applications. It explores how ICT is integrated into everyday life and examines its impact across various sectors. Additionally, the module addresses key ethical, social, economic, and environmental issues related to the ICT field, encouraging critical thinking about its broader implications.

Electronics Systems

Electronic systems are essential across various industries, enabling automation, communication, and efficient data processing. In consumer electronics, they drive smartphones, laptops, smartwatches, and gaming consoles, ensuring seamless connectivity and fast processing. In healthcare, electronic systems power medical imaging devices, pacemakers, robotic surgical systems, and patient monitoring tools.

This module introduces students to the most used electronic devices and their applications in small-scale electronic systems. It is divided into two main sections: analogue and digital electronics. The module combines formal lectures and seminars with hands-on practical sessions, allowing students to apply theoretical knowledge in a laboratory setting. Through these sessions, students will gain experience in using test and measurement equipment and simulators, developing essential skills in electronics testing and application.

The aims of the module are as follows:
1. To familiarise students with commonly used electronic components, standard laboratory test and measurement equipment and their usage in designing/analysing, building, and testing simple electronic circuits/systems.
2. To introduce students to circuit simulation software and develop an awareness of its strengths and limitations
3. To introduce students to the electronics and measurement techniques through practical approach and provide scope for putting theory into practice and develop investigation/analysis skills that exemplify core electrical and measuring principles relevant to the course.
4. To develop the ability to write a well-structured, concise and thoughtful logbook / report / poster.
5. To develop the ability to work independently as well as in team

Logic and Mathematical Techniques

This module develops a range of mathematical techniques including set theory, logic, relations and functions, algebra, differentiation and integration. The techniques provide the foundation for further study of mathematics and related applications in Computer Science, Computer Games Programming, Computer Systems Engineering and Robotics and Electronics and Internet of Things.

Programming

This is an introductory programming module, designed to develop interest, ability and confidence in using a programming language. Students will gain the basic knowledge and experience to solve simple programming problems using established techniques in program design, development and documentation. It is expected that on completion of this module, students will be able to design, implement and test object-oriented programs.. The student is also expected to develop their confidence needed to program solutions to problems through a series of practical programming exercises

AI for Robotics

The "AI for Robotics" module offers students a thorough exploration of implementing AI within the robotics domain. Covering essential algorithms like Simultaneous Localization and Mapping (SLAM), Automatic Navigation (AutoNav), computer vision, etc., students gain hands-on experience in algorithmic implementation through practical workshops. The students will also be introduced to real-world applications spanning industrial automation, autonomous vehicles, and medical robotics, analysing case studies to understand AI's transformative impact and learn about robotic perception and cognition tasks in this process. Working methodologies of equipment such as LIDAR, odometry sensors, stereo cameras etc., will also be taught to the students such that they are able to select the appropriate hardware for their application. Moreover, students will navigate the legal and ethical landscapes surrounding robotics, including health and safety regulations, intellectual property rights, and ethical considerations. Through a blend of formal lectures, hands-on workshops, and interactive discussions, this module equips students with the skills to effectively integrate AI into robotics solutions while fostering a critical awareness of societal implications. One of the aims of this module is to also ensure that the students are well equipped for the module “AI with ROS” which they will be undertaking in the upcoming semester.

AI with ROS

The "AI with ROS" module has been meticulously crafted to offer students a comprehensive hands-on experience in implementing cutting-edge AI algorithms. Designed to equip students with the skills required to thrive as ROS developers in the robotics industry, this module encompasses practical workshops focused on implementing SLAM and AutoNAV algorithms. Through immersive learning experiences, students will tackle diverse scenarios, honing their ability to implement various AI algorithms while enhancing critical thinking skills. Emphasizing the utmost importance of safety and compliance, students will navigate health and safety regulations pertinent to AI and robotics. This includes considerations for intellectual property rights and ethical guidelines, ensuring responsible and lawful implementation of algorithms. Distinguished as a pioneering initiative, this module prioritizes hands-on learning, providing students with unparalleled opportunities to engage directly with ROS development. Students undertaking this module will have the chance to cultivate their own ROS environments, facilitating the seamless integration of sensors and hardware within simulation environments tailored to specific applications. During the course of this module, students will also be given TurtleBots to implement their algorithms which they have simulated in a real-life environment. Through the "AI with ROS" module, students will not only gain practical expertise but also develop a profound understanding of the ethical, legal, and technical dimensions of AI and robotics.

Advanced Electronics Systems

Electronic systems are essential across various industries, enabling automation, communication, and efficient data processing. In consumer electronics, they drive devices such as smartphones, laptops, smartwatches, and gaming consoles, ensuring seamless connectivity and rapid processing. In healthcare, these systems power critical technologies including medical imaging devices, pacemakers, robotic surgical systems, and patient monitoring tools, all of which contribute to improved diagnostics and patient care.

This module builds on the knowledge gained in the first-year module CT4002: Electronic Systems, providing students with hands-on experience in electronic system design through group-based case studies. Students work collaboratively to solve real-world design challenges, applying their skills in analysis, design, and troubleshooting of mixed-signal systems involving both discrete components and integrated circuits (ICs).

The module follows a structured engineering process, incorporating research skills, system-level analysis and design, circuit simulation, PCB prototyping, soldering, and testing, allowing students to gain practical experience with real-world electronic systems. Delivered in a laboratory-based setting, this module promotes a balanced level of autonomy, encouraging personalized learning, creative problem-solving, and the development of transferable skills essential for future engineering careers.

Microprocessors & Embedded Systems

Microprocessors are essential across various industries, driving automation, data processing, and intelligent decision-making. In healthcare, microprocessors power medical devices such as MRI scanners, ultrasound machines, pacemakers, insulin pumps, and wearable health monitors, enabling accurate diagnostics and real-time patient monitoring. In consumer electronics, microprocessors are integral to smartphones, laptops, tablets, smartwatches, and gaming consoles, ensuring fast computing, seamless connectivity, and efficient data processing. In telecommunications, they are found in network routers, switches, and mobile communication towers, facilitating secure and high-speed data transmission.

This module introduces students to microprocessors and the role that hardware and software play in the functional behaviour of microprocessor systems. Students are then introduced to some of the more common microcontrollers. Interfacing external memories as well as various input/output devices and sensors are also covered. The module enables students to analyse the requirements of a given task, make decisions in selecting an appropriate controller, design and implement prototype hardware/software for a typical embedded systems product. Practical workshops are designed to introduce microprocessor software development, testing and debugging. Workshops provide students with an opportunity to use both ‘C’ and assembly language.

Network Operating Systems

Network Operating Systems (NOS) are crucial across various industries, ensuring efficient communication, security, and resource management among networked devices. In corporate and enterprise networks, businesses depend on NOS for file sharing, email servers, cloud computing, and centralized security management, enabling seamless collaboration and data protection across multiple locations. In healthcare, NOS supports hospital networks, electronic health records (EHRs), telemedicine platforms, and medical imaging systems, facilitating secure and efficient data sharing among healthcare professionals. Additionally, they enable real-time patient monitoring and remote diagnostics, ensuring continuous and reliable healthcare services.

This module provides both theoretical and practical knowledge of NOS, introducing students to some of the most widely used NOS platforms. Through a combination of lectures, seminars, and hands-on workshops, students will learn to install, configure, manage, and troubleshoot network operating systems. Practical sessions reinforce theoretical concepts, allowing students to gain real-world experience in network administration and system management.

Sensors, Actuators and Control

Sensors, actuators, and control systems are essential in various industries, enabling automation, monitoring, and precision control. In smart homes and IoT, sensors in motion detectors, thermostats, and security systems monitor environmental conditions, while actuators control smart lighting, automated door locks, and climate control systems. Control systems integrate these devices to enhance efficiency and automation. In healthcare, sensors track vital signs in wearable health devices, patient monitoring systems, and smart prosthetics, while actuators manage robotic surgical tools, infusion pumps, and ventilators.

Work Related Learning

This module consists of a short work placement (or work-related activity) lasting over one semester. This usually translates into 12 to 15 full working days (or the part time equivalent of this) in the framework of 150 hours (15-credit module) considering some time for reflection, research and documentation. The work placement is facilitated by the University’s Work Based Team (WBT) and the Careers and Employability Team. The module enables students to undertake an appropriate short period of professional activity, usually related to their course at level 5 (Intermediate level), with a business or community organization and to gain credit for their achievements. The activity can be a student’s part-time job, a volunteering activity, employment activity, an activity within London Met, an activity related to client’s brief or business start-up activity.

Applied Robotics

This module aims to provide students with the technical background and skills necessary to design and construct robotic devices. It reviews a selection of sensors and actuators that are commonly used in robotic products and provides students with practical experience in the design, construction and evaluation of relatively simple fixed and mobile robots. It also helps students develop an awareness of legal requirements governing robotics, including personnel, health & safety, intellectual property rights, product safety and liability issues. The module covers the necessary background through formal lectures/seminars followed by comprehensive hands-on practical workshops.

Bio-inspired AI and Security

The multidisciplinary intersection of biology and embedded digital security, the 'Bio-inspired AI and Security' module offers an immersive exploration of cutting-edge security algorithms inspired by the complexity and adaptability of biological systems. This module is designed to address the multifaceted challenges of cybersecurity through the lens of genetic algorithms, artificial immune systems, swarm intelligence, neural networks, biometric security, and memetic algorithms.

Students will engage with the foundational principles of natural science and engineering to devise solutions for complex cybersecurity problems with content that remains at the forefront of technological advancements. Through a dynamic blend of formal lectures/seminars and hands-on workshops, the curriculum not only imparts theoretical knowledge but also fosters practical skills in designing security solutions that harmonise societal, user, business, and customer needs, integrating considerations of health and safety, diversity, inclusion, and environmental stewardship.

Crucially, the module emphasises evaluating these bio-inspired solutions' environmental and societal impacts, aiming to minimise adverse consequences and promote sustainability. It adopts an inclusive approach to engineering practice, underlining the paramount importance of equality, diversity, and inclusion in fostering innovative solutions and advancing the field of bio-inspired AI and security.

Computer Vision

Computer vision is widely used across industries to automate processes, enhance efficiency, and improve decision-making. In healthcare, it plays a crucial role in medical imaging diagnostics, while in the automotive industry, it powers self-driving cars by enabling object detection and navigation. Manufacturing relies on computer vision for quality control, ensuring consistency and defect detection in production lines, while retail leverages it for cashier-less stores and customer analytics. Additionally, robotics heavily depends on computer vision for navigation, object recognition, and task automation in warehouses, factories, and even space exploration. By enabling intelligent automation and real-time analysis, computer vision continues to transform various industries.

This module aims to equip students with the knowledge and skills to analyse, design, and develop image processing algorithms commonly used in commercial computer vision systems. It covers fundamental principles, mathematical foundations, algorithmic implementations, and practical configurations of computer vision technology. Upon successful completion, students will be able to professionally evaluate the key components of computer vision systems and apply their knowledge to real-world applications.

IoT Systems and Security

IoT systems and security play a crucial role in various industries, enhancing efficiency, automation, and data-driven decision-making while ensuring protection against cyber threats. In healthcare, IoT is widely used for remote patient monitoring, RFID tracking, and connected medical devices, requiring strong security measures to safeguard sensitive patient data. The retail and supply chain sector relies on IoT for RFID tracking, inventory management, and logistics, where robust security helps prevent theft and fraud. In finance and banking, IoT enhances security through biometric authentication and fraud detection, ensuring the safety of financial transactions.

The module is designed to provide students with technical knowledge and skills on Internet of Things (IoT) technologies. Theoretical material delivered in the lectures is supported by practical lab work to ensure students have a sound grasp of the technical content where students are expected to develop IoT systems. A number of devices, platforms and software tools will be introduced during the course from different vendors. The module is assessed through lab reports and final examination.

Project

The module enables students to demonstrate their acquired knowledge and skills through a systematic and creative investigation of a project work, either individually or as part of a group, in accordance with their course requirements. The topic of investigation will cover a broad spectrum of various analysis and techniques and will lead to a comprehensive and concise academic/industry-related report. Students will be assisted in exploring areas that may be unfamiliar to them and encouraged to develop innovative ideas and techniques. Students will be able to choose a project that may require the solution to a specific problem, creation of an artefact in a real-world environment or an investigation of innovative ideas and techniques related to an area within their field of study. Collaboration with outside agencies and projects with industrial, business or research partners/ sponsors will be encouraged.

Artificial Intelligence

This module provides an introduction to the field of Artificial Intelligence, from its historical context to its current state. Students will research an aspect of AI and work in teams to design an intelligent system and develop a simple prototype.

The module aims to

· to build students’ knowledge and understanding of AI and its range of applications;

· to enable students to use their skills and knowledge to design a contemporary intelligent system;

· to develop students’ critical faculties with respect to the ethics and the issues surrounding AI;

· to build skills in software engineering and prototype development

Broadband Systems 1

Broadband systems are essential for enabling high-speed communication, data exchange, and automation across a wide range of sectors. In telecommunications, they underpin high-speed internet, mobile networks, and satellite communications, facilitating seamless global connectivity. In healthcare, broadband technology supports telemedicine, remote patient monitoring, and the rapid transmission of medical imaging data—contributing to improved patient care and diagnostics.

This module introduces students to the principles and applications of broadband systems and technologies. It covers system operations, design requirements, and analytical approaches, equipping students with both theoretical understanding and practical design skills. The module also develops teamwork and collaboration abilities through a group-based project.

Broadband Systems 2

Satellite and optical systems are essential components of broadband technology, supporting various industries. Telecommunications rely on satellite communications for global connectivity, particularly in rural and underserved areas, while optical fibre networks form the backbone of high-speed internet, enabling broadband services, cloud computing, and 5G/6G networks. In healthcare, satellite broadband facilitates telemedicine, remote diagnostics, and emergency communication in remote locations, while optical fibre ensures fast and secure transmission of medical imaging, electronic health records, and real-time patient monitoring, enhancing efficiency in hospitals and research institutions. The module provides students with an understanding and knowledge in the principles and applications of satellite and optical systems broadband systems. It covers the key features of these systems, their operations and design requirements. The module develops analytical and design knowledge and provides experience of team working through a group work.

Digital Systems Applications

This module extends the digital design techniques learnt at intermediate level to the use of Application Specific Integrated Circuits. It provides an extensive treatment of the use of Virtual Hardware Description Language (VHDL) using the industry's standard (Xilinx/Altera and its associated hardware).

Wireless Networks (Cisco)

This module aims to provide students with the technical background and skills necessary to design and configure and maintain wireless LANs (Local Area Networks) and WANs (Wide Area Networks). Knowledge of LANs and WANs is essential across various industries, enabling secure communication, data management, and operational efficiency. In healthcare, LANs connect medical devices and records within hospitals, while WANs enable secure data exchange, telemedicine, and compliance with regulations. The education sector uses LANs for campus networking and WANs for remote learning and institutional collaboration. In finance and banking, LANs manage transactions and cybersecurity, while WANs link branches and support online banking. Retail and e-commerce rely on LANs for inventory and POS systems, while WANs connect stores, warehouses, and online platforms. Similarly, manufacturing and supply chains use LANs for automation and real-time tracking, while WANs coordinate global logistics.

This module focuses on the design of these networks the devices used and their operation, the planning prior to installation and best practices, the implementation of the network design, security provisions and troubleshooting of Wireless LAN issues. The module covers the necessary background through formal lectures/seminars followed by comprehensive hands-on practical workshops.