B.Sc. Artificial Intelligence & Software Engineering

You will be introduced to the fundamental principles of computation and programming, and you will learn how information can be represented and processed in computer systems. You will also study the mathematics courses Calculus and Linear Algebra, and select other courses of your choice from a wide range of subjects across the University.

You will cover topics in formal and natural language processing, algorithms and data structures, computer systems, software engineering, reasoning and agents. You will also study Discrete Mathematics and Probability, and select other courses of your choice from a wide range of subjects across the University.

Your studies will become more focused, with a choice of up to eight courses specific to Artificial Intelligence and Software Engineering together with individual practical work and a large-scale group project. You may also select some courses from other areas of Informatics and may choose one course from a different subject area.

You will build a portfolio of between six and 10 specialised courses in Artificial Intelligence and Software Engineering that match your particular interests. You may also select some courses from other areas of Informatics and may choose one course from a different subject area. In this period you will undertake an individual research project and write a dissertation.

Courses include:

• Algorithms and Data Structures
• Computer Architecture
• Computer Design
• Computer Communications and Networks
• Computer Security
• Compiling Techniques
• Database Systems
• Logic Programming
• Operating Systems
• Software Engineering with Objects and Components
• Software Testing
• Introduction to Theoretical Computer Science
• Enterprise Computing
• Introductory Applied Machine Learning
• Elements of Programming Languages
• Agent Based Systems
• Algorithmic Game Theory and its Applications
• Adaptive Learning Environments
• Automated Reasoning
• Automatic Speech Recognition
• Computer Animation & Visualisation (Level 11)
• Computational Cognitive Science
• Computer Graphics
• Computational Neuroscience of Vision
• Human-Computer Interaction
• Information Theory
• Machine Learning & Pattern Recognition
• Machine Translation
• Natural Language Understanding
• Topics in Cognitive Modelling
• Text Technologies for Data Science
• Semantic Web Systems
• Topics in Natural Language Processing
• Speech Processing (Hons)
• Theories of Mind (Philosophy Hons)
• Logic, Computability and Incompleteness
• Intelligent Autonomous Robotics
• Machine Learning Practical
• Introductory Applied Machine Learning