Module code: COS7050-B
Nowadays large amounts of data are collected from many different sources; such data can be used for enhanced benefits and impact to society by evaluating its quality and relevance, integrating with existing information and digital resources, extracting patterns and creating new knowledge for decision support in engineering, healthcare and wellbeing, and society sustainable development.
However, large amounts of data create continuous challenges for relevant and effective usage in industry. This module enables students to hands-on development of specialist knowledge in data analysis and mining using machine learning techniques, required to apply data science principles and to provide data-driven, innovative engineering solutions.
The module is intended to Engineering, Management, Data Analytics, Computer Science and similar subject graduates to gain hands-on development of advanced knowledge and skills in the application of data-driven machine learning techniques in support of robust big data-based decision-making.
Students will explore how machine learning applied to industrial big data resources can support knowledge discovery for decision making in domains such as industry 4.0, product design and development, product quality management. The module will also address legal, social ethical and professional aspects of such projects.