Page 48 - REC :: M.E. Avionics Curriculum and Syllabus - R2019

Department of Aeronautical Engineering, REC

Subject Code Subject Name Category L T P C
AV19P213 BIG DATA ANALYTIS USING IOT PE 3 0 0 3

Objectives:
⚫ To learn the concepts of big data analytics
⚫ To learn the concepts about Internet of things
⚫ To understand and implement smart systems
⚫ To understand the concepts of RFID false authentications and fog computing
⚫ To introduce about the basics of web enhanced building automation systems

UNIT-I BIG DATA PLATFORMS FOR THE INTERNET OF THINGS 9
Big Data Platforms for the Internet of Things: network protocol- data dissemination–current state of art
Improving Data and Service Interoperability with Structure, Compliance, Conformance and Context Awareness:
interoperability problem in the IoT context- Big Data Management Systems for the Exploitation of Pervasive
Environments – Big Data challenges and requirements coming from different Smart City applications
UNIT-II RFID FALSE AUTHENTICATIONS 9
On RFID False Authentications: YA TRAP – Necessary and sufficient condition for false authentication prevention -
Adaptive Pipelined Neural Network Structure in Self-aware Internet of Things: self-healing systems-Role of adaptive
neural network- Spatial Dimensions of Big Data: Application of Geographical Concepts and Spatial Technology to the
Internet of Things- Applying spatial relationships, functions, and models
UNIT-III FOG COMPUTING 9
Fog Computing: A Platform for Internet of Things and Analytics: a massively distributed number of sources - Big Data
Metadata Management in Smart Grids: semantic inconsistencies – role of metadata
UNIT-IV WEB ENHANCED BUILDING 9
Toward Web Enhanced Building Automation Systems: heterogeneity between existing installations and native IP
devices - loosely-coupled Web protocol stack –energy saving in smart building- Intelligent Transportation Systems and
Wireless Access in Vehicular Environment Technology for Developing Smart Cities: advantages and achievements-
Emerging Technologies in Health Information Systems: Genomics Driven Wellness Tracking and Management System
(GO-WELL) – predictive care – personalized medicine.
UNIT-V SUSTAINABILITY DATA AND ANALYTICS 9
Sustainability Data and Analytics in Cloud-Based M2M Systems - potential stakeholders and their complex relationships
to data and analytics applications - Social Networking Analysis - Building a useful understanding of a social network -
Leveraging Social Media and IoT to Bootstrap Smart Environments : lightweight Cyber Physical Social Systems -
citizen actuation
Total Contact Hours : 45
Course Outcomes:
On completion of the course students will be able to
Students will understand the advanced concepts of Big data analysis using IOT and provide the necessary
⚫
knowledge for their design and development.
⚫ Develop smart systems
⚫ Get exposure on false authentication and fog computing
⚫ Understand the basics of web enhanced building automation systems.
The students will have an exposure on various topics such as false authentication, sustainability data and analytics
⚫
and will be able to deploy these skills effectively in the solution of problems in avionics engineering.

Text Books:
Stackowiak, R., Licht, A., Mantha, V., Nagode, L.,” Big Data and The Internet of Things Enterprise Information
1
Architecture for A New Age”, Apress, 2015.
2 Dr. John Bates , “Thingalytics - Smart Big Data Analytics for the Internet of Things”, john Bates, 2015

Curriculum and Syllabus | M.E. Avionics | R2019 Page 48