Lietu interneta programmatūra(English)(1),24/25-P
In the study course, students are offered the opportunity to gain a deeper understanding and skills necessary to effectively use and integrate Internet of Things (IoT) technologies in various industries. The study course also includes learning the basics of microcontrollers, emphasizing their role in IoT data processing and device interoperability. It covers specific data transmission technologies, including specialized mobile communication technologies essential for IoT connectivity, supporting solutions from smart homes to industrial systems.
In collaboration with other master's courses, students will work on combining microservice architecture and the MQTT protocol. This provides a foundation for developing IoT solutions that are scalable, reliable, and flexible, allowing for the full utilization of IoT technology potential. Efficient data transmission from sensors to external networks is crucial; therefore, to optimize data flow and reduce network load, the study course includes learning sensor data preprocessing. This allows, in conjunction with machine learning methods and edge computing, to reduce the volume of data transmitted and thereby improve response times.
In collaboration with other master's courses, students will work on combining microservice architecture and the MQTT protocol. This provides a foundation for developing IoT solutions that are scalable, reliable, and flexible, allowing for the full utilization of IoT technology potential. Efficient data transmission from sensors to external networks is crucial; therefore, to optimize data flow and reduce network load, the study course includes learning sensor data preprocessing. This allows, in conjunction with machine learning methods and edge computing, to reduce the volume of data transmitted and thereby improve response times.