Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
7303SDM-JAN-CTY
Aims
To develop an understanding of concepts around sensors, networking sensors, and techniques for Big Data analysis.
Learning Outcomes
1.
Critically appraise the concepts, opportunities and issues surrounding Wireless Sensors and Networks.
2.
Critically evaluate various protocols and traffic propagation models and access techniques using analytical methods and modelling techniques.
3.
Assess and apply the concepts, principles, opportunities and issues surrounding Big Data.
4.
Evaluate and design complex integrated hardware and software solutions to
engineering problems.
Module Content
Outline Syllabus:Wireless Sensors: Introduction, topologies and networking, protocols and platforms.
Radio Technologies: 802.15.4, 802.11, Bluetooth, WiFi and other proprietary systems.
Big Data Analytics: Principles and techniques, Issues and opportunities, k-means and other statistical algorithms, community clustering principles etc.
Modelling tools and simulation techniques to explore and address limitation and issues in sensor networks and data analytics techniques.
Applications and case studies: for example remote condition monitoring
Module Overview:
This module encourages the development of theoretical understanding and practical experience in wireless sensor networks and big data analytics.
This module encourages the development of theoretical understanding and practical experience in wireless sensor networks and big data analytics.
Additional Information:This module encourages development of theoretical understanding and practical experience in wireless sensor networks and Big Data Analytics.