Course: Data science

Structural unit: Faculty of information Technology

Title
Code
ВК2.10
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
4
Learning outcomes
Apply modern automation technologies for analysis, design, and development of complex objects and systems at various stages of their life cycle.
Form of study
Full-time form
Prerequisites and co-requisites
Know the basics of differential and integral numbers, discrete mathematics, mathematical analysis, numerical methods, the basics of algorithms and programming. Conclude the transformation of functions of both one and many different ones, find similar functions of many different ones analytically, develop algorithms, write basic functions and subprograms howl C++.
Course content
Under the hour of advanced discipline, the foundations of autonomous systems and their existence in various spheres of human activity are examined, and also: modeling and forecasting the dynamics of biological processes and systems, population, economy, the development of diseases and the spread of diseases. Edemics, atmospheric phenomena and processes. The fundamentals of the theory of stability and deterministic chaos in autonomous dynamic systems are examined, with approaches to the synthesis of these systems in the MatLab cor
Recommended or required reading and other learning resources/tools
Husainov D.Ya., Shatyrko A.V. Fundamentals of Nonlinear Dynamics: A Student's Guide. Kyiv: Kyiv University Publishing and Printing Center, 2017. 159 p. Modern electromechatronic complexes and systems. / T. P. Pavlenko, V. M. Shavkun, O. S. Kozlova, N. P. Lukashova; Kharkiv. national city university farm named after O. M. Beketova. – Kharkiv: XNUMX named after O. M. Beketova, 2019. - 116 p. Kutyrev, A.; Kiktev, N.; Jewiarz, M.; Khort, D.; Smirnov, I.; Zubina, V.; Hutsol, T.; Tomasik, M.; Biliuk, M. Robotic Platform for Horticulture: Assessment Methodology and Increasing the Level of Autonomy. Sensors 2022, 22, 8901. https://doi.org/10.3390/s22228901
Planned learning activities and teaching methods
Lectures, Laboratory classes, Student's work independently
Assessment methods and criteria
During the semester, students perform laboratory work and present their results to the audience, and two written control works are also conducted. The maximum number of points a student can receive for their work during the semester is 100 points. The form of the final evaluation is the credit. The assessment is carried out by issuing a final grade, which is defined as the sum of points for all successfully assessed learning outcomes. To receive credit, it is mandatory for students to complete all laboratory work (minimum score - 48 points, maximum - 80 points) and write the control works (minimum score - 12 points, maximum - 20 points). When the resulting final score is 60 or higher, the student is credited.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline