Applied Statistics ()
The module introduces core statistical concepts for practical data analysis. It will provide students with the skills to model data sources, analyze their statistical properties, visualize them in different ways and fit the samples to a known probabilistic model.
Data Analytics (Work based)
This module focuses on the range of approaches, methodologies, techniques and tools for data analysis, and the use of data analysis findings to inform decision-making in an industrial / business context. It is a work-based module only available to students on relevant degree apprenticeship programmes.
Machine Learning for Visual Data Analysis (Postgraduate/Undergraduate)
The module will cover the following topics: The Discrete Fourier Transform and the frequency content of images. The design and use of Gabor filters. Principal Component Analysis for denoising and compression. Unsupervised classification via feature space clustering. Texture segmentation with Gabor filters.
Website Design and Authoring (Undergraduate)
This module introduces the issues that must be considered in designing a website and the tools that can be used in website design and construction. By the end of the module students will be able to: Understand the principles of designing for websites for a range of user groups Evaluate existing websites for functionality, navigation, user-experience and produce recommendations for improvement Collect requirements and generate design prototypes Develop and improve websites based on evaluations of existing sites Be confident using various software tools that can be used for website design and development Evaluate the strengths and weaknesses of their own website designs Understand the principles underlying modern web technologies including HTML5 and SVG