Data Mining & Artifical Intellince
Course: Geoinformation systems and Technologies
Structural unit: Educational and Scientific Institute "Institute of Geology"
Title
Data Mining & Artifical Intellince
Code
ВБ 2.03
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
- Process the results of geodetic measurements, topographic and cadastral surveys, using geographic information technologies and computer software and database management systems.
- Have modern technologies for data collection, processing, exchange, transformation and integration in various fields of geosciences.
Form of study
Full-time form
Prerequisites and co-requisites
In order to better master the educational material of the discipline, students must have knowledge and skills in the field of computer science, geophysics, Earth physics, computer technology, work with spreadsheets, databases, speak English.
Course content
The basics of data mining implementation in modern decision support systems, organization of data warehouses, implementation of operational analytical data processing (OLAP), identification of patterns in data by solving problems of clustering, classification, regression, time series forecasting, use knowledge-oriented (knowledge representation models and logical inference) and connectionist (artificial neural networks) approaches to artificial intelligence to data mining.
Recommended or required reading and other learning resources/tools
1. Vinnychuk O. Yu. Intellectual data analysis: laboratory. practicum: education manual Ministry of Education and Science of Ukraine, Chernivtsi. national University named after Yurii Fedkovych; edited by: Vinnychuk O.Yu., Vinnychuk I.S. – Chernivtsi: ChNU, 2014.
2. Yeremeev V.S. Sosnovsky D.O. Titova O.V. Probability theory and mathematical statistics, Study guide: Melitopol: MMD Publishing House LLC, 2009. – 188 p.
3. Sytnyk V. F. Intellectual analysis of data (data mining): Education. Guide/ V.F. Sytnyk, M.T. Krasnyuk - K: KNEU, 2007. - 376 p.
2. Chernyak O.I., Zakharchenko P.V. Intelligent data analysis, Kyiv. national University named after T. Shevchenko. — K.: Znannia, 2014. — 599 p.
Planned learning activities and teaching methods
Lectures, practical classes, independent work
Assessment methods and criteria
The control is carried out according to the module-rating system and provides: performance of 7 practical works (where students have to demonstrate
the quality of the acquired knowledge and solve the tasks using the methods and tools outlined by the teacher), and conducting 2 written modular tests. The final assessment is conducted in the form of a written and oral exam
Language of instruction
ukrainian
Lecturers
This discipline is taught by the following teachers
Tishaev
Geoinformatics
Educational and Scientific Institute "Institute of Geology"
Educational and Scientific Institute "Institute of Geology"
Ivan
Virshylo
Geoinformatics
Educational and Scientific Institute "Institute of Geology"
Educational and Scientific Institute "Institute of Geology"
Departments
The following departments are involved in teaching the above discipline
Geoinformatics
Educational and Scientific Institute "Institute of Geology"
Geoinformatics
Educational and Scientific Institute "Institute of Geology"