COURSE PLAN – PART I Name of the

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DEPARTMENT OF INSTRUMENTATION AND CONTROL ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY, TIRUCHIRAPPALLI

COURSE PLAN – PART I Name of the

programme and specialization

M.Tech- Industrial Automation Course Title

Course Code IC612 No. of Credits 3

Course Code of Pre-

requisite subject(s) NIL

Session Jan 2022 Section

(if, applicable) -

Name of Faculty V Sridevi Department ICE

Email sridevi@nitt.edu Telephone No. 7339679246

Name of Course Coordinator(s) (if, applicable)

NA

E-mail NA Telephone No. NA

Course Type Core course Elective course Syllabus (approved in BoS)

Introduction to Internet of Things - Overview of Internet of Things- the Edge, Cloud and the Application Development, IoT enabling Technologies, Architecture of IoT, IoT layers and levels, Anatomy of the Thing, sensing and actuation devices, IEEE1451 standards, Input and Output Communication interfaces - UART, SPI, I2C, and CAN, Front end Hardware - preprocessing, IoT memory model, IoT processor requirements and selection, Energy harvesting technologies.

Communication technologies - Wired and Wireless solutions, RFID (eg. ISO 18000 6c EPC class 1 Gen2), NFC, IEEE 802.11 (WLAN), IEEE 802.15.4(ZigBee), IEEE 802.15.1(Bluetooth), Multihop, IETF Low power Wireless Personal Area Networks (6LoWPAN), Machine to Machine (M2M) and traditional IP technologies such as IPv4, IPv6, etc., Wireless Sensor/Mesh Networks, Understanding Internet Protocols - Simplified OSI Model, Network Topologies and standards, Proprietary Protocols, SimpliciTI, Networking Design – Push, Pull and Polling, Network APIs.

IoT networking protocols - Introduction to MQTT, Quality of service in MQTT, standards and security in MQTT, Implementation of AMQP, Implementation of CoAP and MDNS protocols. IoT Cloud, Data handling and Analytics - IoT Data Collection, Processing IoT Data, Cloud Storage, IoT Data Analytics, Cloud computing, Cloud computing services, IoT Cloud Platforms, IoT Specific Challenges and Opportunities.

Advances Design Concepts for IoT – Software UX Design Considerations, Machine Learning and Predictive Analysis, Interactions, Interusability and Interoperability considerations, Understanding Security in IoT Design, Design requirements of IoT Security Issues and challenges.

Page 2 of 6 Case studies - Industrial IoT enabled services, Healthcare and fitness, Smart environment and Agriculture, Smart cities, Supply Chain and Logistics

COURSE OBJECTIVES

1. To provide a good understanding of Internet of Things (IoT) and its envisioned deployment domains.

2. To provide an understanding of smart sensors/actuators with their internet connectivity for experimentation and designing systems.

3. To provide a overview about the various protocol standards deployed in the Internet of Things (IoT) domain and to make informed choices.

4. To impart knowledge in the design and development of IoT systems with enablement ensuring security and assimilated privacy.

COURSE OUTCOMES (CO)

On completion of this course, the students will be able to 1. understand the design architecture of IoT.

2. make choice of protocols and deployment in solutions.

3. comprehend the design perspective of IoT based products /services.

4. basic understanding of various Industrial IoT platforms

Course Outcomes Aligned Programme

Outcomes (PO) On completion of this course, the students will be able to

1. understand the design architecture of IoT. 1,2,3,4 2. make choice of protocols and deployment in solutions.

1,2,3,4 3. comprehend the design perspective of IoT based products

/services. 1,2,3,4

4. basic understanding of various Industrial IoT platforms

6,7

COURSE PLAN – PART II COURSE OVERVIEW

This course covers the design and development of IoT device, and the protocols and standards

for IO devices and communication technologies. The design architecture and protocols of

simple IoT to large IoT system will be taught in this course. The different phases of data

handling and analytics over internet will be taught in this course.

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COURSE TEACHING AND LEARNING ACTIVITIES S.No. Week/Conta

ct Hours

Topic Mode of

Delivery

1

6 weeks

Introduction to Internet of Things - Overview of Internet of Things- the Edge, Cloud and the Application Development, IoT enabling Technologies, Architecture of IoT, IoT layers and levels, Anatomy of the Thing, sensing and actuation devices, IEEE1451 standards, Input and Output Communication interfaces - UART, SPI, I2C, and CAN, Front end Hardware - preprocessing, IoT memory model, IoT processor requirements and selection, Energy harvesting technologies.

Communication technologies - Wired and Wireless solutions, RFID (eg. ISO 18000 6c EPC class 1 Gen2), NFC, IEEE 802.11 (WLAN), IEEE 802.15.4(ZigBee), IEEE 802.15.1(Bluetooth), Multihop, IETF Low power Wireless Personal Area Networks (6LoWPAN), Machine to Machine (M2M) and traditional IP technologies such as IPv4, IPv6, etc., Wireless Sensor/Mesh Networks, Understanding Internet Protocols - Simplified OSI Model, Network Topologies and standards, Proprietary Protocols, SimpliciTI, Networking Design – Push, Pull and Polling, Network APIs.

PPT (Online mode)

TEST 1 (Online mode)

2

7 weeks

IoT networking protocols - Introduction to MQTT, Quality of service in MQTT, standards and security in MQTT, Implementation of AMQP, Implementation of CoAP and MDNS protocols. IoT Cloud, Data handling and Analytics - IoT Data Collection, Processing IoT Data, Cloud Storage, IoT Data Analytics, Cloud computing, Cloud computing services, IoT Cloud Platforms, IoT Specific Challenges and Opportunities.

Advances Design Concepts for IoT – Software UX Design Considerations, Machine Learning and Predictive Analysis, Interactions, Interusability and Interoperability considerations, Understanding Security in IoT Design, Design requirements of IoT Security Issues and challenges.

PPT (Online

mode)

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TEST 2 (Online mode)

3 1 Week

Case studies - Industrial IoT enabled services, Healthcare and fitness, Smart environment and Agriculture, Smart

cities, Supply Chain and Logistics

PPT (Online mode)

COURSE ASSESSMENT METHODS (shall range from 4 to 6)

S.No. Mode of Assessment Week/Date Duration % Weightage

1 Test 1 (Online mode) -- 1 Hour 25

2 Test 2(Online mode) -- 1 Hour 25

CPA Compensation Assessment* -- 1 Hour 25

3 Seminars/Assisgnment (s) /

Project -- 20

4 Final Assessment (Online

mode) -- 2 Hours 30

COURSE EXIT SURVEY (mention the ways in which the feedback about the course shall be assessed)

1. Anonymous feedback through questionnaire.

2. Feedback from the students during the class committee meetings.

COURSE POLICY (preferred mode of correspondence with students, compensation assessment

policy to be specified)

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MODE OF CORRESPONDENCE (email/ phone etc) - Email & Phone COMPENSATION ASSESSMENT POLICY

Compensation test will be conducted for students who miss Test1 or Test2 (only written test).

But they should get permission from the faculty by giving valid reason in written form to write retest.

Grading Policy

The students will be graded relatively with all the four assessment marks put together with the passing minimum of 40 marks. The ‘Z’ grade shall be awarded if the student absents for the semester/supplementary examination. Students who have failed in the semester examinations with F grade & Z grade and those completed mandatory classes shall take supplementary examinations. Supplementary examinations shall be conducted along with the regular examinations or immediately after the completion of the regular examinations or at the end of each semester (during vacation).

ATTENDANCE POLICY (A uniform attendance policy as specified below shall be followed) During each online class the attendance sheet will be downloaded and consolidated. It is mandatory to maintain 75% attendance to appear for end semester examination. The students having less than 75% of attendance will not be allowed to write the end semester examination.

The student he/she having less than 75% of attendance has to redo the course in the forth coming semester.

ACADEMIC DISHONESTY & PLAGIARISM

The students have the freedom to do their work meanwhile; they have to obey the institute academic rules. The students should not be involved plagiarizing other student’s assignment work, peer’s examination answer sheet and any mode of copying other’s work.

The students involved in these activities are penalized and their name list will be sent to the office of Dean (Academic) for legal action.

ADDITIONAL INFORMATION - NIL FOR APPROVAL

Course Faculty __________ CC-Chairperson ________________ HOD ____________

(Dr V SRIDEVI) (Dr G UMA) (Dr K DHANALAKSHMI)

11-02-2022 11.2.2.22

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