Infopaket

Artificial Intelligence Systems for Solving Problems in the Earth Sciences

ОК 40.

Обов’язкова дисципліна для ОП

First

2025/2026

8 Semester

3

− Ability to communicate in the state language, both orally and in writing (K05). − Skills in using information and communication technologies (K07). − Ability to learn and acquire up-to-date knowledge (K08). − Ability to apply fundamental knowledge of physics, chemistry, biology, ecology, mathematics, information technology, etc., to the study of the Earth and its geospheres (K14). − Ability to conduct a comprehensive analysis of the composition and structure of geospheres (K17).

Full-time form

successful completion of courses from previous semesters of the specified educational-professional program that involve the use of tools for the automation of cartographic work and the programming of domain-specific tasks, including those within Geographic Information Systems (GIS).

The course syllabus consists of the following thematic sections: 1. General overview and capabilities of artificial intelligence systems for solving problems in the Earth sciences. 2. Current realities and near-term development prospects of artificial intelligence for application in the Earth sciences.

1. Bondarenko E. L., Dudun T. V. Application of Artificial Intelligence Systems in the Training of Cartography and Geoinformatics Specialists in Ukraine. Information Technologies and Learning Tools. 2025. Vol. 106. No. 2. pp. 192–210. DOI: https://doi.org/10.33407/itlt.v106i2.6008 2. Bondarenko E. L., Dudun T. V. A Model of Geoinformation Training for Cartography Specialists at Taras Shevchenko National University of Kyiv. Information Technologies and Learning Tools. 2024. Vol. 101. No. 3. pp. 108–126. DOI: 10.33407/itlt.v101i3.5627 3. Bostrom N. Superintelligence: Paths, Dangers, Strategies. Kyiv: “Nash Format”, 2020. 408 p. 4. Kirby J., Davenport T. *Vacancy: Human. How to Avoid Being Left Without a Job in the Age of Artificial Intelligence*. Translated by N. Koshmanenko. Kyiv: Nash Format, 2018. 336 p. 5. Kai-Fu Lee, Chen Qiufan. *AI 2041: Ten Visions for Our Future*. Kyiv, 2022. 464 p.

Total volume: 90 hours, including: 28 hours of lectures, 12 hours of practical sessions, and 50 hours of independent work. Pass/fail exam.

− current (semester) assessment (grades for practical assignments: minimum 24, maximum 40; tests: 6–10; independent work: 5–10); − final (summative) assessment in the form of a pass/fail exam (grade for theoretical knowledge: minimum 12, maximum 20 points; grade for the practical component: 13–20). Students whose total score falls below the critical threshold of 35 points must complete an additional individual comprehensive assignment to be eligible for the final assessment.

Ukrainian