AICE Lab Programme Year 1

This module is the lab programme for all first-year students enrolled on an AICE degree programme. A range of lab activities which tie into each of the first year modules are provided. It aims to give students the opportunity to apply the theory that they...

Algorithms and Analysis

Algorithms and Analytics provides an introduction to core data structures and algorithms as well as the analytical tools to understand their performance. It covers the usage of algorithms for problem solving, their implementations in different programmin...

Data Analytics

Working with data of various forms is a crucial skill for all engineers and scientists. This module introduces students to working with, analysing and processing various different forms of data. The module focusses on ensuring students have a thorough gra...

Digital Computer Systems

The aim of this module is to introduce students to the boundary between logic gates and software, and explain how computer systems are constructed and executed. This includes aspects such as how high-level concepts such as arithmetic and logic are mapped ...

Ethics and Security of Computing

This module develops students understanding of the fundamental security, privacy, ethical, and legal issues relating to all aspects of building systems involving computer systems and artificial intelligence.

High-Level Programming

This module introduces the principles and practise of programming, with the assumption that students may not have any prior experience in programming. The teaching language is Python, as this is relatively accessible to new programmers, but also an import...

Low-Level Programming

This module builds on the knowledge and skills from high-level programming. The goal is twofold - programming in both embedded systems and high-performance contexts. C and C++ are used as languages in this module. C is taught because it is a suitable stat...

Mathematics for Artificial Intelligence and Computer Engineering (I)

This module provides students with some fundamental mathematical concepts relevant to applications in AI and CE. The focus will be on applying mathematical proofs to solve computer science problems as well as introducing basic concepts and techniques in l...

Mathematics for Artificial Intelligence and Computer Engineering (II)

This module provides students with fundamental mathematical concepts relevant to applications in AI and CE. The focus will be on probability, statistical inference, combinatorics, optimization techniques, calculus – partial derivatives and ordinary differ...

AI and CE Interdisciplinary Group Project

The goal of this module is to put into practise the skills and knowledge learned over the previous three semesters, and develop an original solution to a complex problem. Students will develop group working skills, and use appropriate engineering methods ...

Code Transformation

The aim of this module is to expose students to ways of representing an transforming programs and other languages. This include the definition of languages through grammars and the parsing languages into data-structures. The module then explores the ideas...

Computer Architecture

This module aims to give students an understanding of how a CPU works, and also the ability to implement a working CPU. The module covers basic data- and control-path design, and the implemention of an existing Instruction Set Architecture (ISA). Standard...

Electronics

Digital electronics under-pins all current computation and networked systems. This module introduces some of the fundamental analogue electronic principles and ideas that digital logic is built on, then moves on to digital abstractions for designing circu...

Parallel and Distributed Computing

This module explores the linked ideas of networking and distributed computing, looking at how one can scale up to large computational systems using channels that move between nodes and between hardware and software. The course covers the fundamentals of n...

Scientific Computing

Scientific computing is concerned with numerical representations and algorithms for solving problems that can be implemented as computer programs. This module gives an overview of the field of scientific and numerical computing. The module covers the most...

Signals and Control

This module introduces the idea of signal analysis, and the mathematical concepts and methods used to classify, transform, and analyse signals. These fundamentals are then applied within then context of control, which is intended to give the students skil...

Systematic Design

The goal of this module is to give students an overview of the theory and methods for designing and delivering large multi-component systems. There will be a particular emphasis on systems which combine requirements and functionality from learning, softwa...

Advanced Computer Architecture

This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day.

Part III Individual Project Phase 1

The Part Three Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging...

Part III Individual Project Phase 2

The Part III Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging e...

Advanced Computer Networks

This module is designed to be a follow-up module to the computer Science or ITO second year introductory networking module. The wireless networking part reviews wireless technologies and their application in areas such as IoT and sensor networks. The mod...

Advanced Databases

This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.

Causal Reasoning and Machine Learning

The broad educational goal is to enhance students' ability to reason about data generating processes, and extract, interrogate and evaluate patterns in the data. The focus on methods of causal analysis overlaps with the objectives of ``explainable AI." St...

Computational Biology

Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and ...

Computer Vision

The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on ma...

Control System Design

- To develop skills for design of linear multivariable control systems by pole placement.- To introduce basic nonlinear system analysis and design methods.

Digital Control System Design

The topics considered are: z transforms, sampling and reconstruction, discretisation, elements of realisation theory, controller design via pole placement, observers, optimal control design.

Embedded Networked Systems

With rapid popularity and advancements in technologies like the internet-of-things (IoT) and network-on-chip (NoC), the ability to connect and network embedded devices is becoming ever more commonplace, and a feature of most electronic devices. This modul...

Foundations of Machine Learning

Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will cover the fundamental principles...

Green Electronics

This module covers recent developments in electronic devices that reduce energy consumption, generate power, or advance the distribution of power. Together these devices are playing an essential role in reducing our dependence on fossil fuels.The modu...

High Performance Computing

Machine Learning Technologies

Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.Exclusions...

Natural Language Processing

This module gives students an introduction to natural language processing (NLP) algorithms and an understanding of how to implement NLP applications.

Parallel Programming

Real-Time Computing and Embedded Systems

This module gives a broad introduction to development of real-time and embedded systems

Robotic Systems

Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems.This module will introduce students to the fundamentals of robotic systems including k...

Security of Cyber Physical Systems

The course requires to understand C code, assembly language, x86 architectures and memory allocation (a refresher will be provided).