BSc (Hons) Audio Software Engineering Bachelor's degree at West London

The aim of this module is for you to understand the theories and parameters relating to sound engineering that apply to all areas of the course. The main subject areas include: human hearing, physics of sound, sound measurement and decibels, basic room acoustics and digital audio conversion.

The module will help you develop as programmer using C++ as a tool to build simple applications related to sound engineering. You will learn to specify, develop and test software to specified standards to meet a range of sound engineering needs.

The module is designed to introduce you to modern audio production processes and how to listen to sound in an objectively critical manner. You will study relevant hardware, digital audio workstations and MIDI sequencer packages. A programme of ear training will develop your critical listening skills on recorded sound and their musical attributes.

In this module, you will cover the essential computational skills necessary for audio software engineering. With an emphasis on digital signal processing, this module delves into crucial mathematical principles including linear algebra, calculus and discrete mathematics. You'll explore algorithms and data structures specific to audio applications. By the end of this course, you will be equipped with the tools needed to excel in the design and implementation of advanced audio software systems.

This module 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.

This module adopts a top-down approach to data communication networking, beginning at the application layer and working down towards the physical layer. After completing the five-layer network architecture, the module focuses on the wireless network and its security. The following aspects will be covered: application layer transport layer network layer data link layer 802.11 Wi-Fi protocol principle of cryptography Wireless security: WEP and WPA.

Sound design is used in many industry sectors, including film, TV, radio, gaming, advertising, theatre, virtual reality and smart devices. You will learn how to use synthesisers, samplers, how to record on location and how to creatively process sound files. You will apply sound design techniques to fulfil specific professional media briefs.

Embedded systems are those that combine computers and electrical systems, such as an audio interface. This module provides a background to embedded development, introduces open-source tools and techniques used in the audio industry to programme embedded hardware, and enables you to gain experience in programming languages and techniques, typically used for mobile and embedded applications.

In this module, you will gain insights into key techniques within the field of artificial intelligence (AI). Aspects of AI you will cover include agents, environments and learning as well as techniques such as regression, classification, clustering, reinforcement learning, learning recommendation and decision support systems.

This module will allow you to gain experience in developing mobile web applications and have an introduction to the tools, languages and design techniques required for building functional applications. During the module, you will gain exposure to a programming language that can support native mobile application development, and you will be introduced to the Model-View-Controller (MVC) software design pattern.

This module covers the holistic development of a computer game, simulation or virtual world. You will learn to use an appropriate 3D games engine (e.g. Unreal Engine 4), optionally employing a programming language (C script) to develop an interactive artefact.

The module initially will provide a foundation on the basics of signal theory, including the types of signals, properties and applications of signals, conversion between analogue and digital signals. You will study the basic principle of frequency domain, along with the fundamental signal analysis in frequency domain (e.g. complex signal and the Fourier series). You will use software such as MATLAB as a tool to explore the various theoretical, analytical and experimental aspects of the syllabus.

This module will introduce you to the fundamentals of digital signal processing. You will apply this knowledge to sound as both a tool for developing audio effects but also for audio analysis. You will learn how to develop your own adaptive digital audio effect. Additionally, the module will look at convolution, filter design and audio restoration.

The module aims to provide you with basic concepts, audio processing methods and insights into some techniques within the field of artificial intelligence. You will learn audio features and how to extract acoustic features from audio streams and theory of audio signal processing, including audio activity detection and audio noise reduction. The basic principle of machine learning approaches to audio recognition will also be studied.

Gaming is a fast-growing and lucrative area of the entertainment industry. By the end of this module, you will have a solid appreciation of the power of audio for games, combined with the skills to develop audio assets and implement them in middleware. This in turn will form the basis of a show-reel which can be used for future promotion and collaboration within the gaming industry.

This module aims to provide a wider awareness of the key trends and areas of growth in industry to further extend your range of reflective experiences and enhance your academic self-esteem. You are required to develop your career management plan by matching job roles to personal skills and interests, plus explore the expectations society and business has of IT professionals. You will prepare for wider IT industry requirements for codes of practice and ethics and develop an understanding of the r

The aim of the final major project is for you to develop the ability to undertake a large-scale project in audio software engineering, which allows you to apply your knowledge and skills developed throughout the course in an expansive and challenging manner. This is an opportunity for you to showcase your academic as well as practical subject skills in a manner that will help you showcase your abilities to a future employer or academic institution. Ultimately, this aims to lead you into your cho