BSc (Hons) Artificial Intelligence with Foundation Bachelor's degree at West London

Intended to equip you with the study skills needed to successfully progress onto level 4, the first year of undergraduate study. Tutor group sessions are an integral part of the module, where you will consolidate your learning and frame it in the context of your subject area. The module will focus on various aspects of study skills, such as those skills related to reading and writing, learning approaches, problem-solving techniques, critical thinking, researching, referencing, plagiarism, legal

Aims to provide a basic knowledge of how to summarise, analyse and interpret data, provide an overview of sampling and experimentation in the mathematical sciences and engineering field, and deliver an introduction to modelling a linear relationship between variables.

Some of the technologies you will cover include: Hardware (computer systems) CPU memory motherboard hard drive disk secondary storage graphic cards sound cards input and output devices peripherals (printers, mobile computing devices, tablets, smartphones, etc) Software system software: operating systems, utility programs application software: general purpose application software, special purpose application software, bespoke application software Communication technologies computer networks and c

Will enable you to read critically, present an argument and distinguish between the quality and suitability of materials. It will prepare you to use and evaluate a range of evidence sources throughout your degree.

You will cover the basics of web design and development, learning how to integrate text, graphics and behaviour to create interactive webpages using HTML5, CSS3 and Javascript. Other aspects will be covered, such as historic development of the web, architecture and basic client server architecture, protocols such as HTTP, issues of accessibility and usability, standards and standardisation organisations (W3C, Internet Working Group) and security (HTTPS, firewalls, certificates).

In this module, you will learn the core mathematical skills and statistical concepts and techniques to be able to effectively analyse and present information. You will develop skills in expressing problems in mathematical language, finding solutions to problems and communicating mathematical ideas clearly and succinctly. You will gain essential mathematical skills that will prepare you for other modules.

An introduction to probability theory and statistical methods. The module leads to a deeper understanding of probability distributions, random variables and their role in sampling. Tools such as hypothesis testing are presented and a basic introduction to the statistical software SPSS is provided.

The aim of this module is to extend your knowledge of matrices, vectors and systems of linear equations and to introduce the abstract concepts of vector spaces, linear maps and inner products.

Provides a thorough grounding in the fundamentals of Java programming language and object programming concepts. It will focus on the design and build of Java desktop applications using the Java Development Kit and popular Integrated Development Environments, following established industry standard methodologies. The module will have a strong emphasis on using OO modelling techniques to interpret and implement business related applications.

Will help you to gain the knowledge and competence to deal with basic data structures and algorithms. You will learn how to specify collections using abstract data types (ADTs) and to implement them using a variety of techniques such as linked lists and trees. You'll also use a range of algorithms, including searching and sorting.

Will introduce you to information systems theory and explore how databases underpin IS systems. The module will also examine the principles and techniques involved in implementing relational databases. It will cover database environments, database analysis and database design and will also give an introduction to database security and transaction management. Oracle will be used to explore the capabilities of SQL and to construct a small relational database.

Will equip you with the foundational knowledge and practical skills necessary to analyse, visualise and extract insights from complex data within the context of artificial intelligence. You will be able to discover, analyse, visualise and present data in a meaningful way that will harness the power of data for new insights. You will gain practical skills using commercially available open-source software (e.g. Python, TensorFlow, etc) to apply data analysis and visualisation techniques to real wo

On this module, you will design and build cloud-based services and applications. The module introduces core concepts and technologies in cloud computing, distributed systems and security, providing a solid foundation in cloud architectures and their underlying principles. Through a comprehensive and systematic approach, you will explore various cloud architecture models, understand industry standardisation and practice major cloud provider platforms.

Will introduce you to the fundamentals of AI, with a focus on: the structures, resources and processes that together make up an "intelligent" agent the techniques, models and tools that can be used to simulate the "intelligent" processes the skills and capabilities necessary to critically review AI literature and/or products, to synthesise ideas, to systematically solve AI problems and to communicate effectively. You will gain the knowledge and skills required to understand the fundamentals of A

The aim of this module is to provide you with the knowledge and understanding of fundamental concepts of computational theory and computational complexity. You will learn how to examine whether a given problem can be solved computationally. The module aims to introduce computation science, modelling complex dynamic systems and diagramming models.

Will provide you with a deep understanding of artificial intelligence (AI) concepts, tools, techniques and their applications in solving real-world problems. You will develop practical skills in designing, implementing and evaluating AI-based solutions, gaining insights into both theoretical foundations and practical applications relevant to AI and data science. The module will cover extensive examples of applied AI and relate the covered topics to other modules within the programme providing a

The aim of this module is to provide you with the experience of working collaboratively as part of a project team. The module will provide opportunities for you to adopt different project team roles in order to deliver a solution for a real-world client.

Aims to introduce algorithms using pseudocode and to provide you with a basic of understanding of how to write and analyse algorithms, and computational complexities.

Intended to cover fundamental theory and algorithms of machine learning, as well as recent research topics. Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.

Will explore the advanced principles and techniques currently being used in real-world computer vision systems, and the research and development of new systems. Computer vision lets computers gain high-level understanding from digital images or videos, and seeks to automate tasks that the human visual system can do. It has become ubiquitous with applications in search, image understanding, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks su