Artificial Intelligence

Year 2

Compulsory modules

• Foundations of Security (15 credits)

  You'll dive into the realms of information, computer, and network security. Where you’ll unlock the secrets of how computer systems can be safeguarded from digital threats.

  We're going to dig into the ethical and professional dimensions too. Because in the world of cybersecurity, it's not just about coding and firewalls; it's also about making the right decisions and understanding the broader implications.

  By the end of this module, you'll not only know how to secure a modern networked computer system, but you'll also be equipped to assess its security level. 
   

• Software Development in C and C++

  In this module, you’ll be equipped with the skills to become a coding wizard. You'll start by unravelling the intricacies of C programming. You'll build a solid foundation in this language, understanding its fundamentals and getting comfortable with its syntax.

  We'll then introduce you to some of the most essential features of C++. This is where you'll learn how to design top-notch programs and practise the art of coding like a pro.

  By the time you complete this module, you'll be well-prepared to write your own programs in C and C++. 

• Introduction to Artificial Intelligence

  In this module, we're going to give you the essential knowledge you need to explore a diverse range of AI applications and solutions.

  You’ll dive into logic – the core language of AI and reasoning. You'll get a solid grasp of how logic forms the foundation of AI.We'll also introduce you to logic-based knowledge representation and programming. Plus, we'll explore how to tackle problems using algorithms based on these representations.
   

• Applied Software Engineering

  In this module, we'll dive into some cool stuff like modern human-computer interactions, human-robot connections, and virtual reality interfaces. By the end, you'll be all set to use these skills in today's exciting world of development.

  We'll also check out Augmented Reality and Virtual Reality, which will give you a chance to put what you learn into real-world action. But we won't leave out the classics – we'll dig into traditional computer interfaces and physical robots too.

  We'll also chat about how these advances affect society and the ethics behind them. It's like a roadmap for you to evaluate and apply your newfound knowledge.

• Data Structure and Algorithms

  In this module you will delve deeper into the world of programming, expanding your expertise and confidence in various key areas. This module is designed to enhance your programming skills to the point where you can confidently utilise recursion, perform effective testing, and manipulate essential data structures like graphs and trees. Through engaging with these concepts, you will acquire valuable knowledge and practical skills that will empower you in the field of computer science.
   
  By the end of this module, you will be able to create and anticipate the behaviour of programs that employ data structures such as graphs and trees. You will develop the ability to devise comprehensive test plans for programs, ensuring their effectiveness and reliability. Furthermore, you will be capable of creating and comprehending programs that leverage recursion, a powerful technique for solving complex problems.

• Foundation of Computation

  You’ll explore logical and mathematical concepts that form the foundation of computation theories. 

  Ever wondered why some problems seem much tougher than others? We'll help you grasp the idea that certain problems are inherently more challenging (in a precise way), and some problems can't be solved at all.

  Additionally, we'll dive into the essential concepts of formal languages and automata. These concepts are like the building blocks of programming languages, and you'll gain practical skills in working with them.

• Advanced Artificial Intelligence

  This module takes your logic reasoning and modelling skills to the next level. We're going to introduce you to the world of probabilistic reasoning and knowledge representation. 

  Think of probability theory as a mathematical language – it's how we capture and work with uncertainty in real-life AI applications. So, get ready to build advanced knowledge and skills in the field of artificial intelligence.

• Enterprise Engineering

  Our mission is to help you foster an entrepreneurial mindset. We'll do this by delving into the world of enterprise and entrepreneurship, specifically in the realm of new venture creation on a global scale. 

  Throughout this journey, you'll put theory into practice. You'll use the principles and practices of enterprise to create, communicate, and assess fresh business ideas and innovative products, all within the IT landscape, guided by business model theory.

  You'll get hands-on experience as you collaborate in a team to design and execute an IT-based innovative product business idea. You'll have to work within set time limits and a budget, which will give you an experience of real-world challenges. 

Optional modules

Year 3 or 4

Compulsory modules

• Computing Project (30 credits)

  Welcome to your individually supervised project! This project is all about diving into an area you're passionate about. You get to pick a topic that aligns with your program of study and tackle a practical issue.

  Think of this project as the grand finale of your course. It's your chance to showcase not only what you've learned but also the breadth and depth of your knowledge in your chosen area of expertise.
   

• Advanced Interfaces

  You'll study modern human-computer interactions, human-robot connections, and virtual reality interfaces. Looking at the future of development. With Augmented Reality and Virtual Reality at your fingertips, you'll put your studies to work in real-world applications. It's a chance to bring your skills to life.

  You’ll also look at traditional computer interfaces and physical robot connections. These fundamentals are essential for you to develop a well-rounded understanding.

  Finally, we'll discuss the societal impact of these innovations and explore the ethical side of things. It's all about giving you the tools to evaluate and apply your newfound knowledge.
   

• Application and Ethics of Artificial Intelligence

  We'll give you a comprehensive look at the scientific and business applications of AI. You'll dive into various AI domains, like Natural Language Processing, face recognition, and the intriguing world of autonomous moral machines. You'll get a chance to explore the ins and outs of these AI applications.

  But we won't just stop at these possibilities. You'll also get into the details, helping you analyse both the risks and the incredible opportunities that come with applying AI. By the end of this module, you'll have a well-rounded understanding of the AI landscape. 
   

• Cloud Computing and Internet of Things

  Immerse yourself in the cutting-edge realms of Cloud Computing and the Internet of Things (IoT). You’ll gain a critical understanding of recent trends and developments, empowering you to design, construct, and evaluate innovative Cloud Computing solutions. Additionally, you’ll delve into the Internet of Things, unlocking insights into its latest advancements and programming frameworks. Furthermore, explore the management of distributed data, privacy, and security considerations.

  On successful completion of this module, you will possess the expertise to critically analyse, design, and evaluate Cloud Computing and IoT solutions. You’ll also develop team working skills by collaborating effectively within groups, applying your knowledge and skills to practical scenarios.
   

• Machine Learning

  In this module, our goal is to arm you with the principles of computer learning and show you how they're put into practice. You'll kick things off by diving into the fundamentals of machine learning. You'll get a strong grasp of the various methodologies, how they're implemented, and the methods used to analyse machine learning applications. These are the essential tools you need.

  You’ll be empowered to analyse a machine learning problem and critically evaluate the different approaches available. By the end of this module, you'll have the skills to craft effective solutions to these problems. 
   

• Machine Vision

  In this module, we're here to equip you with the core principles and applications of computer vision. You'll start by exploring the basics of human vision and how images are formed. Knowing these fundamentals is key to grasp the understanding of computer vision.

  You'll dive into low-level image processing, stereo vision, video analysis, and the art of modelling and recognition. These are the building blocks of computer vision, and you'll become well-acquainted with them.

  You’ll get hands-on experience by implementing these techniques in real-world scenarios. By the end of this module, you'll be familiar with the fundamental problems and techniques in computer vision.

• Advanced Machine Learning and Deep Learning

  You’ll build on what you've learned in the Advanced AI and Machine Learning modules. You'll explore the world of deep learning, with a focus on convolutional and recurrent networks. These are the powerhouse techniques behind many cutting-edge applications, like image recognition and natural language processing.

  We'll help you understand the mathematical and statistical underpinnings of machine learning. You'll learn how to teach machines to learn through trial and error. You'll get to know the technology behind those smart assistants and language models that can generate human-like text. You will develop the skills to see how they can be applied to real-world problems and applications. 
   

MSci Year

Compulsory modules

• Artificial General Intelligence

  This module is all about understanding intelligence in a broad sense, covering humans, animals, and artificial beings. AGI isn't just about machines; it's about the essence of intelligence itself. We're going to discuss the philosophy behind AGI and look at the big picture.

  This is where we delve into the heart of AGI research. We're talking about creating intelligent beings from scratch, and the possibilities are mind-blowing. So, get ready to expand your horizons and explore intelligence in all its forms. This module is your gateway to the captivating world of AGI, and we're here to guide you every step of the way. 

• Advanced Artificial Intelligence Project

  You'll be delving into an advanced topic of Artificial Intelligence, one that closely aligns with your program of study. You'll be part of a group, working together to explore this cutting-edge AI subject. This means you'll have the power of multiple minds, ideas, and perspectives at your disposal.

  Your research and development work may involve working hand-in-hand with a research organisation, an industry expert, or even a commercial entity. This real-world connection is a fantastic opportunity to see how AI is used in practical, everyday settings.

  This module is all about taking your knowledge and applying it in a real-world context. You'll see how AI concepts and techniques are used to tackle genuine challenges and drive innovation.
   

• Data Visualisations

  In this module, we're going to take those foundational data visualisation skills you've learned so far and amplify them. 

  You'll dive into information design, interaction design, and user engagement. You'll learn how to not only create visualisations but also design them in a way that communicates effectively and engages your audience. It's about making data come to life.  You'll also get hands-on experience with cutting-edge tools. These tools will empower you to craft visualisations that are tailored to various data sets and application scenarios. Whether you're dealing with numbers, maps, or something entirely different, you'll have the skills to transform data into meaningful insights.
   

• Autonomous Intelligent Systems

  You'll unravel the art of seamlessly integrating software and engineering entire systems for interactive artificial intelligence. You'll become an expert in joining different pieces of AI software through middleware-based integration, which is a crucial software approach. Plus, we'll delve into the integration of AI cloud services, exploring the magic behind AI in the cloud.

  We'll then shift our focus to the development of interactive AI solutions. These are the AI systems that can communicate with you through multiple senses – think voice commands, gestures, and more. It's all about creating AI that's not just smart but also friendly and responsive. This module is your ticket to mastering the art of AI engineering.
   

• Artificial Intelligence Systems Engineering

  Let's explore the exciting world of Autonomous Intelligent Systems together. These systems are used in diverse settings, each with its unique functions. They've got an interesting job to do - gather information from various sources about their surroundings, make sense of it all, and then plan how to carry out their tasks.

  We'll help you understand the key requirements for these systems, like sensor fusion (how they combine data from different sensors), recognition (how they identify objects and patterns), and planning (how they figure out what to do next).

  This isn't just theory; we'll explore how these systems operate in the real world, and we'll also dive into simulation for advanced testing and research. It's all about practical insights and hands-on experience.
   

• Data Science Foundations

  We want to give you a solid grasp of essential data science ideas and tools. Firstly, you'll cover the fundamental concepts in data science. This is the foundation that every data scientist needs.

  We won't stop at theory. You'll dive into real-life data science research questions, tackling actual data problems. This is where you'll see how data science is used. You'll also gain practical experience with programming languages that are used in data science. This hands-on approach will make sure you're well-prepared for the real world of data science.