lecturer of 2025/2026 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Brief description of the course
Tables, graphs, and dependencies of data. Constant and variable quantities. The concept of a function, its domain, and range. Processing experimental data using the least squares method. Decision-making and prediction using functions. Describing a point’s location in polar coordinates. Curves given in parametric form. The increment and derivative of a function of one variable. Applications of derivatives in the study of practical processes. Functions of multiple variables and their partial derivatives. Applications of partial derivatives in practical process analysis. The definite integral, its properties, and applications. The concept of a matrix and operations with matrices. Vectors in the plane and space. The linear programming problem and its graphical solution.
Learning outcomes in the course
Upon completing the course the student:
- understands and explains fundamental mathematical concepts and methods used in economics, natural sciences, and social sciences;
- applies the mathematical methods covered in the course to data analysis and problem-solving in practical contexts;
- analyzes mathematical results obtained using the methods covered in the course and interprets them according to the given context.