Assignment

Exam

Wireless Sensor Networks: Introduction, topologies, 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

Sensors and Data Analytics - 7545ELEMST

Sensors and Data Analytics

Demonstrate a comprehensive understanding of the concepts, opportunities and issues surrounding Wireless Sensor Networks.

Demonstrate a high level understanding of the concepts, principles, opportunities and issues surrounding Big Data.

Design, implement and critically evaluate a practical solution that uses wireless networks and the data generated for a given engineering problem.

Apply mathematical and data analytic techniques, and computer-based models for solving complex problems and to assess sensor networks.

Evaluate various protocols, traffic, propagation models and access techniques using analytical methods and modelling techniques.