Big Data Analytics detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2020-21 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 7th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2020-21 Onwards, do visit ET 7th Sem Scheme, 2020-21 Onwards. For the Elective-IV scheme of 7th Sem 2020-21 onwards, refer to ET 7th Sem Elective-IV Scheme 2020-21 Onwards. The detail syllabus for big data analytics is as follows.
Big Data Analytics Syllabus for Electronics & Telecommunication Engineering (ET) 4th Year 7th Sem 2020-21 DBATU
Course Objectives:
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Course Outcomes:
At the end of this course, Students will able to:
- Explain the motivation for big data systems and identify the main sources of Big Data in the real world.
- Demonstrate an ability to use frameworks like Hadoop, NOSQL to efficiently store retrieve and process Big Data for Analytics.
- Implement several Data Intensive tasks using the Map Reduce Paradigm
- Apply several newer algorithms for Clustering Classifying and finding associations in Big Data.
UNIT – 1
Big Data Platforms 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.
UNIT – 2
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UNIT – 3
Fog Computing 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 – 4
Web Enhanced Building 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.
UNIT – 5
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UNIT – 6
Sustainability Data and Analytics 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.
Text Books:
- Stackowiak, R., Licht, A., Mantha, V., Nagode, L., Big Data and the Internet of Things Enterprise Information Architecture for A New Age, Apress, 2015.
- Dr. John Bates, Thingalytics – Smart Big Data Analytics for the Internet of Things, john Bates, 2015.
- Dr. John Bates, Thingalytics – Smart Big Data Analytics for the Internet of Things, john Bates, 2015.
For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 7th Sem 2020-21 onwards, visit ET 7th Sem Subjects of 2020-21 Onwards.