IoT and Edge computing detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the EIE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Electronics & Instrumentation Engineering 5th Sem scheme and its subjects, do visit EIE 5th Sem 2021 regulation scheme. For Professional Elective-II scheme and its subjects refer to EIE Professional Elective-II syllabus scheme. The detailed syllabus of iot and edge computing is as follows.
Course Objectives:
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Unit I
IOT AND EDGE COMPUTING
IoT- History, definition, IoT Architecture and Core IoT Modules- Sensing devices, High performance IoT endpoints, Energy sources and power management.
Unit II
COMMUNICATIONS AND INFORMATION THEORY
Communication theory, Information Theory, The radio spectrum, Non-IP Based WPAN, IPBased WPAN and WLAN, Long-Range Communication Systems and Edge to Cloud Protocols.
Unit III
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Unit IV
CLOUD AND FOG TOPOLOGIES
Cloud services model, Public, private, and hybrid cloud, Constraints of cloud architectures for IoT, Fog computing- Open Fog reference architecture, Fog topologies, Data Analytics and Machine Learning- Basic data analytics, Machine learning- Convolutional neural networks, Recurrent neural networks, IoT data analytics and machine learning comparison
Unit V
IOT AND EDGE SECURITY
Cybersecurity- Attack and threat terms, definitions of different cyber defense mechanisms and technologies, Anatomy of IoT cyber-attacks, Physical and hardware security, Cryptography, Blockchain and cryptocurrencies in IoT, Consortiums and Communities
Skill Development Activities
(Group Seminar/Mini Project/Assignment/ 10 Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)
- Strong foundation in System design, Networking, Database expertise and Security.
- Knowledge in Edge computing and cloud computing.
Course Outcomes:
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Text Books:
- Perry Lea, IoT and Edge Computing for Architects Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security, 2nd Edition ,Packt Publishing, 2020.
- Geng, Hwaiyu. “Internet of Things and Data Analytics in the Cloud with Innovation and Sustainability.” The Internet of Things & Data Analytics Handbook, 2017.
Reference Books:
- K. Anitha Kumari, G. Sudha Sadasivam, D. Dharani, M. Niranjanamurthy, Edge Computing Fundamentals, Advances and Applications,CRC Press, 2021.
- Rajkumar Buyya, Satish Narayana Srirama , Fog and Edge Computing: Principles and Paradigms , wiley publication, 2019
- David Jensen, �Beginning Azure IoT EdgeComputing: Extending the Cloud to the Intelligent Edge, MICROSOFT AZURE.
- Li, H., Ota, K., & Dong, M. Learning IoT in edge: Deep learning for the Internet of Things with edge computing, 2018.
- Singh, J., Bello, Y., Hussein, A. R., Erbad, A., & Mohamed, A. Hierarchical security paradigm for iot multiaccess edge computing, 2020.
List of Open Source Software/ Learning Website:
- https://www.udemy.com/course/introduction-to-edge-computing/
- https://www.coursera.org/lecture/iot-wireless-cloud-computing/5-10-edge-computing-pOK8T
- https://www.cognixia.com/course/edge-computing-training/
- Edge Computing Platforms: Alef Private Edge, Azure IoT Edge, ClearBlade, Eclipse ioFog, ESF Edge Computing Platform, Google Distributed Cloud Edge, HPE Edgeline, Infiot ZETO, Mutable Public Edge Cloud, Vapor IO Kinetic Grid, StarlingX.
For detailed syllabus of all the other subjects of Electronics & Instrumentation Engineering 5th Sem, visit EIE 5th Sem subject syllabuses for 2021 regulation.
For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results direct link.