Computer technologies and their application in hydrometeorology

Course: Management and Ecology of Water Resources

Structural unit: heohrafichnyi fakultet

Title
Computer technologies and their application in hydrometeorology
Code
ОК.17
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
3
Learning outcomes
PR04. Use information technologies, cartographic and geographic information models in the field of Earth sciences. PR07. Apply models, methods and data of physics, chemistry, biology, ecology, mathematics, information technology, etc. in the study of natural processes of formation and development of geospheres. PR09. To be able to carry out studies of geospheres using quantitative methods of analysis. PR12. Know and apply theories, paradigms, concepts and principles in Earth sciences according to specialization.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of the discipline "Higher Mathematics". 2. Be able to analyze the features of natural processes and build logical chains that describe them; 3. Know the basic mathematical operations and functions used to describe natural processes.
Course content
This discipline is dedicated to the study of the Python programming language. It is based on the Cisco Academy course "PCAP: Python Programming Fundamentals". The discipline will consist of two courses covering all the basics of Python programming, general concepts and methods of computer programming, as well as the object-oriented approach. Each course contains four modules that are studied over two semesters.
Recommended or required reading and other learning resources/tools
1) Osnovy prohramuvannya na Python-kurs akademiyi Cisco // rezhym dostupu: https://lms.netacad.com/course/view.php?id=1171350 2) Osnovy prohramuvannya. Python. Chastyna 1 [Elektronnyy resurs]: pidruchnyk dlya stu-dentiv spetsialʹnosti 122 "Kompʺyuterni nauky", spetsializatsiyi "Informatsiyni tekhnolohiyi v biolohiyi ta medytsyni" / A. V. Yakovenko ; KPI im. Ihorya Sikorsʹkoho. – Elektronni tekstovi danni (1 fayl: 1,59 Mbayt). – Kyyiv : KPI im. Ihorya Sikorsʹkoho, 2018. – 195 s. \\ rezhym dos-tupu: https://ela.kpi.ua/bitstream/123456789/25111/1/Python.pdf 3) Bondarchuk ZH.A. Interaktyvnyy navchalʹnyy posibnyk "Prohramuvannya movoyu Python", stvorenyy za dopomohoyu servisu H5P, Lutsʹk – 2021, 52 s.\\ rezhym dostupu: http://janna-teacher2.com.ua/sites/default/files/interactive_book.pdf
Planned learning activities and teaching methods
Lectures, Laboratory classes
Assessment methods and criteria
There are 2 courses in the discipline, each of them includes 4 content modules. Classes are held in the form of lectures and laboratory work. The discipline ends with an exam. Semester evaluation: the number of points that a student receives during the semester is the sum of the points obtained in the evaluation of completed laboratory work, surveys and tests on individual content modules in the course "Python Programming Fundamentals" from Cisco Academy. Organization of evaluation: a survey in test form is conducted after the completion of each content module. Laboratory works are defended upon completion, according to the schedule of laboratory work.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers


Faculty of information Technology

Departments

The following departments are involved in teaching the above discipline

Faculty of information Technology