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AKTU IoT Lab (MNIO801) Syllabus PDF – B.Tech Minor Degree in Internet of Things
IoT Lab MNIO801
All syllabus, notes, question bank & PYQ for this subject
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- Semester 8
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Official AKTU syllabus of IoT Lab (MNIO801) for B.Tech Minor Degree in Internet of Things – 2 credits, L-T-P 0-0-4. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — IoT Lab
Download PDFMNIO801 · 2 credits · L-T-P 0-0-4
- Select any one development board (Eg., Arduino or Raspberry Pi) and control LED using the board.
- Using the same board as in (1), read data from a sensor. Experiment with both analog and digital sensors.
- Control any two actuators connected to the development board using Bluetooth.
- Read data from sensor and send it to a requesting client. (using socket communication) Note: The client and server should be connected to same local area network.
- Create any cloud platform account, explore IoT services and register a thing on the platform.
- Control an actuator through cloud.
- Access the data pushed from sensor to cloud and apply any data analytics or visualization services.
- Create a mobile app to control an actuator.
- Design an IoT based air pollution control system which monitors the air pollution by measuring carbon monoxide, ammonia, etc and gives alarm or sends message when the pollution level is more than permitted range. 10 Design an IoT based system which measures the physical and chemical properties of the water and displays the measured values. 11.Write 8051 Assembly Language experiments using simulator.
- Test data transfer between registers and memory.
- Perform ALU operations.
- Write Basic and arithmetic Programs Using Embedded C.
- Introduction to Arduino platform and programming
- Explore different communication methods with IoT devices (Zigbee, GSM, Bluetooth)
- Introduction to Raspberry PI platform and python programming
- Interfacing sensors with Raspberry PI
- Communicate between Arduino and Raspberry PI using any wireless medium
- Setup a cloud platform to log the data
- Log Data using Raspberry PI and upload to the cloud platform
- Controlling actuators through Serial Monitor. Creating different led patterns and controlling them using push button switches. Controlling servo motor with the help of joystick.
- Calculate the distance to an object with the help of an ultrasonic sensor and display it on an LCD
- Controlling relay state based on ambient light levels using LDR sensor. Note: Subject Teacher may add /delete the experiments as per the subject requirements
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