in collaboration with

Course Details

Credits & LTP
Each course offers 5 credit points.
Lecture
3
Tutorial
1
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - B.E./B.Tech
Branch - Applicable across all engineering branches
Semester -
5 th,  6 th,  7 th  and  8 th

Course Summary

IoT and its Applications using Raspberry Pi is a course that provides practical knowledge on using the Raspberry Pi microcontroller along with a variety of sensors to design and develop IoT-based solutions. It includes writing small and easy codes for sensor deployment as well as for web-based dashboard APIs. In this context, it also explains the edge computing paradigm and low-power wireless technologies used for interfacing sensors with web-based backend cloud platforms.

According to a market research report published by OpenMind BBVA, the Internet of Things (IoT) is predicted to generate an additional US$344B in revenues by 2020, as well as drive US$177B in cost reductions.

The objective of this course is to familiarise students with Raspberry Pi and sensor interfacing, and using data communication for connecting Raspberry Pi with the server backend through various interfaces and protocols. At the end of this course, students will be able to design and develop a real-world sensor based IoT system using Raspberry Pi. They will also be able to connect multiple Raspberry Pi microcontrollers and sensors to a single backend for transferring data to cloud platforms for further analysis and visualisation.

Hands-On

1. Students/Institutions need to procure the below physical kit(s) required for industry assignment as well as for Part B of the summative assessment:

  1. a. Raspberry Pi Kit

2. The above mentioned hands-on configuration will be leveraged by the students to complete the industry assignment as well as to complete Part B of the summative assessment.

Please click here for hands-on details.

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RECOMMENDED PRIOR KNOWLEDGE
  1. Good knowledge of C/Java/Python programming language, knowledge of NodeJS
  2. Knowledge of JavaScript will be an added advantage

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
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RELATED COURSES
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Course Components

Digital Learning
Resources
Digital course accessible anytime and anywhere View Sample
Digital
Lectures
Digital lectures delivered by industry and academic experts View Sample
Academic Connect
Community
Focussed on building conceptual clarity View Sample
Industry Connect
Community
Focussed on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to two industry related mini projects View Sample
Practice
Assessment
Access to two practice assessments for self-evaluation View Sample
Summative
Assessment
Test of theoretical and applied knowledge View Sample
Verifiable Digital
Certificate
Verifiable certificate on successful completion View Sample
Internship
Opportunity
For top percentile, subject to vacancies in corporates and their hiring policies View Sample
Job
Opportunity
Visibility to job vacancies with leading corporate recruiters, subject to vacancies and their hiring policies View Sample