{"id":29627,"date":"2025-04-14T17:59:02","date_gmt":"2025-04-14T12:29:02","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/315347-applications-of-iot-syllabus-for-medical-electronics-5th-sem-k-scheme-msbte-pdf\/"},"modified":"2025-04-14T17:59:02","modified_gmt":"2025-04-14T12:29:02","slug":"315347-applications-of-iot-syllabus-for-medical-electronics-5th-sem-k-scheme-msbte-pdf","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/315347-applications-of-iot-syllabus-for-medical-electronics-5th-sem-k-scheme-msbte-pdf\/","title":{"rendered":"315347: Applications of Iot Syllabus for Medical Electronics 5th Sem K Scheme MSBTE PDF"},"content":{"rendered":"

Applications of Iot detailed Syllabus for Medical Electronics (MU), K scheme PDF has been taken from the MSBTE<\/a> official website and presented for the diploma students. For Subject Code, Subject Name, Lectures, Tutorial, Practical\/Drawing, Credits, Theory (Max & Min) Marks, Practical (Max & Min) Marks, Total Marks, and other information, do visit full semester subjects post given below. <\/p>\n

For all other MSBTE Medical Electronics 5th Sem K Scheme Syllabus PDF, do visit MSBTE Medical Electronics 5th Sem K Scheme Syllabus PDF Subjects<\/a>. The detailed Syllabus for applications of iot is as follows.<\/p>\n

Rationale<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>.<\/p>\n

Course Outcomes:<\/h4>\n

Students will be able to achieve & demonstrate the following COs on completion of course based learning<\/p>\n

    \n
  1. Describe the fundamental architecture of IoT.<\/li>\n
  2. Apply programming principles to develop basic IoT applications using the NodeMCU IoT platform.<\/li>\n
  3. Implement IoT communication for data handling.<\/li>\n
  4. Describe IoT-based application in given specific field.<\/li>\n
  5. Describe applications of the Internet of Medical Things (IoMT).<\/li>\n<\/ol>\n

    Unit I<\/h4>\n

    Overview of IoT 1.1\tDefinition of IoT, Evolution of IoT 1.2\tAdvantages, disadvantages and list the applications of IoT 1.3\tArchitecture of IoT with all associated components 1.4\tGeneric block diagram of IoT System 1.5\tIoT Enabling Technologies: Big Data Analytics, Cloud computing, Wireless Sensor Networks, Embedded Systems\n<\/p>\n

    Sugggested Learning Pedagogie<\/i>
    \nVideo Demonstrations Lecture Using ChalkBoard Presentations Collaborative learning\n<\/p>\n

    Unit II<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>.<\/p>\n

    Unit III<\/h4>\n

    IoT Protocols and Standards 3.1\tOverview of IoT Communication Protocols: HTTP, MQTT, CoAP 3.2\tSetting up Wi-Fi on NodeMCU: Wi-Fi libraries, code for connecting to Wi-Fi networks 3.3\tWeb server using NodeMCU 3.4\tWeb page on NodeMCU and control applications remotely 3.5\tData Communication using MQTT with NodeMCU: connecting to a broker, publishing and subscribing to topics 3.6\tBasic data handling: collecting, sending, and receiving data using MQTT 3.7\tIntroduction to IoT platforms: AWS IoT, ThingSpeak, Google Cloud, Microsoft Azure IoT, Arduino cloud 3.8\tIntroduction to IoT network technologies: LoRa, NB-IoT\n<\/p>\n

    Sugggested Learning Pedagogie<\/i>
    \nVideo Demonstrations Lecture Using ChalkBoard Presentations Site\/Industry Visit Collaborative learning\n<\/p>\n

    Unit IV<\/h4>\n

    Applications of IoT 4.1\tSmart Cities: traffic management, smart lighting, waste management with conceptual diagram 4.2\tSmart Farming: crop monitoring and irrigation systems with conceptual diagram 4.3\tIndustrial IoT (IIoT):predictive maintenance in manufacturing using IoT sensors to monitor equipment health and prevent failures with conceptual diagram\n<\/p>\n

    Sugggested Learning Pedagogie<\/i>
    \nVideo Demonstrations Lecture Using ChalkBoard Presentations Collaborative learning Site\/Industry Visit\n<\/p>\n

    Unit V<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>.<\/p>\n

    List of Experiments:<\/h4>\n
      \n
    1. *NodeMCU-ESP8266 Hardware Overview and Computer Interface<\/li>\n
    2. *Configuration of Arduino IDE for NodeMCU<\/li>\n
    3. Software simulation and hardware implementation for LED control with NodeMCU<\/li>\n
    4. Control relay using NodeMCU and software simulation<\/li>\n
    5. *Interfacing DHT11\/DHT22 sensors with NodeMCU for temperature monitoring<\/li>\n
    6. Pulse sensor integration with NodeMCU to track heart rate<\/li>\n
    7. *Use BMP180 sensor with NodeMCU to measure blood pressure<\/li>\n
    8. Use MAX30100 Sensor with NodeMCU to measure oxygen saturation levels<\/li>\n
    9. Gulcometer interface with NodeMCU to measure gulcose level<\/li>\n
    10. *Establishment of Wi-Fi network connectivity using NodeMCU<\/li>\n
    11. Web data transmission of sensor data to a web server<\/li>\n
    12. Implement MQTT protocol on NodeMCU for data exchange<\/li>\n
    13. Cloud data storage and access with ThingSpeak<\/li>\n
    14. *LED brightness control based on ambient light using LDR, NodeMCU, and cloud platform<\/li>\n
    15. *Cloud-controlled DC motor operation with NodeMCU<\/li>\n
    16. *Remote patient monitoring system<\/li>\n<\/ol>\n

      Self Learning<\/h4>\n<\/p>\n

      Micro Project<\/i><\/p>\n