The aim of the study course is to provide knowledge about environmental monitoring systems, their operating principles, environmental data acquisition and processing approaches, as well as to ground an understanding of environmental data management, data quality, data analysis and visualization possibilities. The study course provides theoretical and practical knowledge in order to understand and practically develop full-stack environmental monitoring systems comprehending analog signal acquisition and processing in microcontroller side, large-scale data management on the server side as well as data analysis and integration with geographic information systems. The tasks of the course, which provide knowledge, skills and competencies, are: 1. To comprehend environmental monitoring systems, principles of development and methods; 2. To master the development of an environmental monitoring systems based on microcontrollers; 3. To gain skills to manage acquired data and to be able to critically evaluate the quality of the data; 4. To acquire competencies related to the practical application of the considered methods.
Language of instruction: Latvian and English
Course responsible lecturer Zaiga Krišjāne
Results Knowledge 1. Describe and compare environmental monitoring sensing systems, their types and operating principles, as well as application possibilities; 2. Explain the operation principles of electronics and microcontrollers and their parameters; 3. Explain the differences of common programming languages and can select the most appropriate language for a given task; 4. Outlines best basic principles of data management, data processing and quality assessment methods; Skills 5. Design and develop environmental monitoring system prototypes using a wide range of sensors and components; 6. Develop data storage and processing systems for integration with environmental monitoring systems/microcontrollers; 7. Develops full-stack environmental monitoring systems. Competence 8. Evaluate environmental monitoring systems and compares them for the implementation of specific objectives; 9. Select the most suitable microcontrollers and sensors for specific environmental monitoring objective; 10. Select the most appropriate data processing and quality assessment methods for the needs of environmental monitoring, as well as integrates the obtained data into geographical information systems
