Dr Jialun Hu
Lecturer in Information Technology Management
Email: email@example.comRoom Number: Peter Landin, CS 433
Applied Statistics (Postgraduate)
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.
Business Modelling (Undergraduate)
The module introduces students to the development of quantitative models and associated processes for problem solving and decision making. The module provides a grounding in mathematical concepts and practical experience in developing quantitative models and solutions methods based around statistics. A case study approach is taken to the application of quantitative analysis and modelling of a range of engineering activities.
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.
Ethics, Regulation and Law in Advanced Digital Information Processing and Decis (Postgraduate)
This module takes a practical approach to the coverage of ethics in Artificial Intelligence and Data Science. It sees ethical considerations as part of a spectrum of concerns, including ethics, but extending through regulation and legal compliance as formal expressions of what is and is not ethical. It considers examples of the kinds of issues that arise in existing systems, and uses the UK Government's Ethical Framework as an example of how to embed considerations of ethics into business processes.