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Home / Syllabus / B.Sc. (Data Science) / TY BSc Data Science / Semester 6 / Internet of Things Practical

B.Sc. (Data Science) Internet of Things Practical Syllabus - Mumbai University

This is the TY BSc Data Science syllabus under NEP 2020, in force from the academic year 2026-27. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Internet of Things Practical Syllabus.pdf
Major elective · Semester 6 · TY BSc Data Science · 2 credits · 50 marks

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Syllabus for Internet of Things Practical

Major elective · Semester 6 · TY BSc Data Science · 2 credits · 50 marks

Module I

  • 1. Create different blinking patterns with LEDs by connecting to GPIO pints of Raspberry Pi. 2. Use Telegram to control Raspberry Pi GPIO. 3. Interface TM1637 with Raspberry Pi and Display current time. 4. Interface GPS module with Raspberry Pi. 5. Interface ADS 1115 with Raspberry Pi to act as oscilloscope. 6. Interface 16x2 LCD with Raspberry Pi using I2C module to display text. 7. Interface RFID module with Raspberry Pi to read and write to RFID tags/cards. 8. Interface Fingerprint Sensor with Raspberry Pi. 9. Interface Pi Camera with Raspberry Pi to capture image and video. 10. Design IoT based home automation system using Raspberry Pi

Module II

  • 1. Interface Fingerprint Sensor and 16X2 LCD with Raspberry and display message RFID UID matched or unmatched. 2. Simulate door lock by interfacing fingerprint sensor and relay moule with raspberry Pi. 3. Implement basic Publisher – Subscriber using MQTT. Publish messages using paho mqtt. Subscribe and control LED. 4. Design a web dashboard using Flask. Control relay module via web. 5. Create two factor authentication system by interfacing fingerprint sensor, RFID and relay with Raspberry Pi. 6. Create a motion detector by interfacing camera and 16X2 display with Raspberry Pi. Print the appropriate message on the display. 7. Design and implement a Node-RED flow on Raspberry Pi that integrates a physical push-button and an LED with a web dashboard. The flow must allow users to toggle the LED from the dashboard and via the physical button. A button press should force the LED ON for 5 seconds and then automatically restore the LED to the dashboard’s last state. 8. Write a program to read the CPU%, Memory% and CPU temperature of Raspberry Pi. 9. Design and implement an embedded access-control prototype that grants entry only when either a whitelisted RFID tag is detected or a legitimate fingerprint is verified, provides real-time visual feedback on an LCD, indicates status via an LED, and pulses a relay (active-LOW) to unlock for a fixed interval. The system must log all events (time, method, result) for auditability. 10. Install Windows IoT 10 core on Raspberry pi and run the demo program. 10 Reference Books: and 1. Simon Monk, Programming the Raspberry Pi: Getting Started with Python, McGraw 11 Hill, 3rd ed. 2. Simon Monk, Raspberry Pi Cookbook, O’Reilly, 2nd ed. 3. Derek Molloy, Exploring Raspberry Pi, Wiley. 4. Getting Started with Python on Raspberry Pi, Raspberry Pi Press/Foundation. 5. Paul Scherz & Simon Monk, Practical Electronics for Inventors, McGraw Hill, 4th ed. 6. Gastón C. Hillar, MQTT Essentials – A Lightweight IoT Protocol, Packt. 7. Nick O’Leary & Dave Conway-Jones, Node-RED: A Visual Tool for Wiring the Internet of Things. 8. Miguel Grinberg, Flask Web Development, O’Reilly, 2nd ed. 12 Internal Continuous Assessment: 40% Semester End Examination: 60% 13 Continuous Evaluation through: 30 marks Semester End Examination Students are expected to attend each practical and submit the written practical of the previous session. Performing Practical and writeup submission will be continuous internal evaluation. 2 marks can be awarded for each practical performance and writeup submission totalling to 40 marks and can be converted to 20 marks. 14 Format of Question Paper: Duration 2 hours. Certified copy of Journal is compulsory to appear for the practical examination Practical Slip: Q1. From Module 1 13 marks Q2. From Module 2 12marks Q3. Journal and Viva 05 marks

Reference Books

  • and 1. Simon Monk, Programming the Raspberry Pi: Getting Started with Python, McGraw
  • 11 Hill, 3rd ed.
  • 2 Simon Monk, Raspberry Pi Cookbook, O’Reilly, 2nd ed.
  • 3 Derek Molloy, Exploring Raspberry Pi, Wiley.
  • 4 Getting Started with Python on Raspberry Pi, Raspberry Pi Press/Foundation.
  • 5 Paul Scherz & Simon Monk, Practical Electronics for Inventors, McGraw Hill, 4th ed.
  • 6 Gastón C. Hillar, MQTT Essentials – A Lightweight IoT Protocol, Packt.
  • 7 Nick O’Leary & Dave Conway-Jones, Node-RED: A Visual Tool for Wiring the Internet of Things.
  • 8 Miguel Grinberg, Flask Web Development, O’Reilly, 2nd ed.

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020, in force from the academic year 2026-27. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

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