Mathematics for data analysis

Course: Data science

Structural unit: Faculty of information Technology

Title
Mathematics for data analysis
Code
ОК 09
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
11
Learning outcomes
Use modern mathematical tools of continuous and discrete analysis, linear algebra, and analytic geometry, in professional activities for solving theoretical and applied problems in the process of designing and implementing informatization objects. Use methods of numerical differentiation and integration of functions, solving ordinary differential and integral equations, features of numerical methods and their adaptation possibilities for engineering tasks have skills in the software implementation of numerical methods.
Form of study
Full-time form
Prerequisites and co-requisites
1 semester No requirements. 2 semester Elements of calculus / Introduction to calculus
Course content
The discipline "Mathematics for Computer Science" covers a range of issues related to the study of the following sections: numbers as the basis of calculus, functions, differentiation of functions, indefinite integral, definite integral, differential equations, systems of differential equations, numerical series, functional and power series, matrices and determinants, systems of linear algebraic equations, vectors and operations on them, vector space, Euclidean vector space, analytical geometry in the plane, second-order curves, and polar coordinates in the plane.
Recommended or required reading and other learning resources/tools
1. I. Litvin, O. Kononchuk, G. Zhelezniak. Higher Mathematics. Educational manual. Publishing House "Educational Literature Center". 2019. 368 p. 2. V. Klepko, V. Golets. Higher Mathematics in Examples and Problems. Educational manual. Publishing House "Educational Literature Center". 2019. 594 p. 3. Ye. Zaytsev. Higher Mathematics. Educational manual. "Alerta". 2013. 574 p. 4. F. Liman, V. Vlasenko, S. Petrenko. Higher Mathematics. Educational manual in 2 parts. Publishing House "Ukrainian Book". 2018. 614 p.
Planned learning activities and teaching methods
Lectures, practical activities, individual work.
Assessment methods and criteria
The level of achievement of all planned learning outcomes is determined by the results of written tests and the completion of independent work. The maximum number of points a student can earn for work during the semester does not exceed 60 points on a 100-point scale. The final assessment is conducted in the form of an exam. The maximum number of points a student can obtain is 40 points on a 100-point scale. If a student receives less than 24 points during the exam, they are given an "unsatisfactory" grade, and the earned points are not counted. A student is not allowed to take the exam if they have scored less than 36 points during the semester (less than 60% of the maximum possible number of points a student can earn for their work during the semester).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline