Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
6173CSD-JAN-CTY
Aims
To develop an understanding of the concepts, principles and techniques involved in Big Data analytics, and how this can be used to control smart systems.
Learning Outcomes
1.
Critically appraise the concepts, principles, opportunities and issues surrounding Big Data.
2.
Evaluate and apply high level skills of data analytic techniques in the context of Big Data.
3.
Analyse computer-based models for solving complex problems through big data analytics to control smart systems.
Module Content
Outline Syllabus:Big Data Analytics: principles and techniques, issues and opportunities, statistical algorithms and community clustering principles, issues affecting security and privacy.
Modelling tools and simulation techniques to explore limitations and issues with data analytics techniques.
Application/case study.
Module Overview:
To develop an understanding of the concepts, principles and techniques involved in Big Data analytics, and how this can be used to control smart systems.This module looks at the technologies used to 'mine' data and examines big data sets to uncover and highlight previously hidden and unexpected patterns and correlations to improve and inform the decision-making process. Techniques at linking big data analytics to control smart systems is explored.
To develop an understanding of the concepts, principles and techniques involved in Big Data analytics, and how this can be used to control smart systems.This module looks at the technologies used to 'mine' data and examines big data sets to uncover and highlight previously hidden and unexpected patterns and correlations to improve and inform the decision-making process. Techniques at linking big data analytics to control smart systems is explored.
Additional Information:This module looks at the technologies used to 'mine' data and examines big data sets to uncover and highlight previously hidden and unexpected patterns and correlations to improve and inform the decision-making process. Techniques at linking big data analytics to control smart systems is explored.