This course provides a comprehensive introduction to key concepts in analysis and linear algebra, with a focus on both theoretical understanding and practical applications.
In analysis, the course explores trigonometric functions and Fourier decomposition of cyclic functions, complex numbers, various integration techniques, as well as methods for smoothing irregular functions. Additionally, spline interpolation and Taylor's formula are covered, serving as important tools for analyzing and approximating functions.
In linear algebra, the course introduces fundamental concepts such as vectors, matrices, and determinants, along with solutions to systems of linear equations and an understanding of linear transformations. The course also includes an in-depth study of eigenvalues and eigenvectors, which are essential for many topics in mathematics and applied sciences.
Through the combination of analysis and linear algebra, students will build a solid foundation for further studies in mathematics and economics, while also developing skills that are crucial for practical applications.