Unit 1: Creative Coding and Creative Computing Frameworks (20 Credits)
Unit 2: Introducing Computational Futures and Artificial Intelligence (20 Credits)
This unit explores the emerging area of Machine Learning and is mix of practical tasks introducing ML frameworks such as TensorFlow and seminars that look at emerging practice across the arts and creative industries that employ some level of artificial intelligence.
Unit 3: Creative Practice: Visual Coding and Physical Computing (20 Credits)
This unit is the creative application of the skills gained in this part of the course and you will produce creative visualisations that are controlled by sensors and actuators. This application of coding skills for visual output will include an introduction to physical computing and electronics prototyping with platforms such as Arduino and Micro:bit.
This second half of the course sees you study three units (3, 4, 5) in parallel and aims to give students an expertise of the process of developing apps in teams it also introduces students to the digital creative industries of London and further develops their creative practice.
Unit 4: Coding for Collaborative App Development (20 Credits)
In this unit you will develop an app concept using one of the dominant platforms such as Apple’s iOS or Google’s Android. This will give you an understanding of the development process using standard development tools and introduce platform specific coding languages such as Swift. Importantly this unit will include an introduction to collaborative tools for software development.
Unit 5: Working and the Digital Creative Industries (20 Credits)
The aim of this unit is to provide and in depth understanding of both the structure of the creative industries in London and the varied opportunities that exist in what is a diverse sector for people engaged with creative computing.
Unit 6: Creative Practice: Computational Environments (20 Credits)
This unit builds on the creative practice developed earlier in the course and explores scaling that practice by developing spatial interventions. You will explore projection mapping, computer vision and sound tools to explore computational environments.