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Basics of urban meteorology

ВБ 2.2.4

Вибіркова дисципліна для ОП

First

2021/2022

7 Semester

10

PO09. Be able to perform research on the atmosphere and other geospheres using quantitative methods of analysis. PLO12. To know and apply theories, paradigms, concepts and principles in the earth sciences in accordance with the specialization. PLO 14. To participate in the development of projects and practical recommendations in the field of earth sciences. PLO18. To be able to analyze the impact of weather and climate on human activity.

Full-time form

1) know the main categories and theories in the field of information technology, the specifics of cognitive attitude and structure of cognitive activity, IT terms and concepts; 2) be able to critically comprehend the problems of the field of big data processing and problems on the border of subject areas, for example, systems for processing large amounts of data in meteorology, etc. 3) possession of basic skills in handling technical concepts.

The discipline "Fundamentals of of Urban Meteorology" is devoted to the study of issues related to the history of development and emergence of philosophy of processing large data sets, including basic concepts and design methods systems for processing large amounts of data, features of wireless network technology, systems of unique identification systems for collecting and storing information, technologies of embedded computers, means of data transmission on the Internet, as well as the current state of development legislation regarding the implementation of big data processing systems and issues of security of big data processing systems. The discipline "Fundamentals of Urban Meteorology" is is an important part of the EPD "Meteorology" for students, specialty 103 "Earth Sciences", as it forms the general methodological culture of the student and ensures the development of critical reflective thinking in the field of information systems and technology and, in particular, technologies creation of systems for processing large data sets.

1. Rouse, Margaret (2019). "Іnternet of things (IoT)". IOT Agenda. Retrieved 14 August 2019. 2. Mattern, Friedemann; Floerkemeier, Christian (2010). "From the Internet of Computer to the Internet of Things" (PDF). Informatik-Spektrum. 33 (2): 107–121. doi:10.1007/s00287-010- 0417-7 3. Swan, Melanie. "Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0". Journal of Sensor and Actuator Networks. 1 (3): 217–253. doi:10.3390/jsan1030217 4. Vermesan, Ovidiu; Friess, Peter (2013). Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems (PDF). Aalborg, Denmark: River Publishers. ISBN 978-87-92982-96-4. 5. Marginean, M.-T.; Lu, C. (2016). "sDOMO communication protocol for home robotic systems in the context of the internet of things". Computer Science, Technology And Application. World Scientific. pp. 151–60. ISBN 9789813200432.

Lectures, practicals, independent work

Organization of evaluation Control is carried out according to the modular rating system. The course consists of 1 content module. Classes are held in the form of lectures and practical classes. At the end of the semester thematic module test with open questions and tasks to determine the level of At the end of the semester, students present their individual work: designing a concept for processing large data sets. The course ends with an exam.

Ukrainian