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Mathematical Analysis
The course Mathematical Analysis introduces students to the fundamental concepts of higher mathematics, including limits, continuity, derivatives, integrals, sequences, series, and functions of one or several variables. The discipline develops analytical thinking, logical reasoning, and problem-solving skills necessary for studying engineering, computer science, economics, physics, and other applied fields. During the course, students learn how to investigate functions, analyze their behavior, solve optimization problems, calculate areas and volumes using integrals, and apply mathematical methods to real-world problems. Special attention is given to understanding formulas, interpreting graphs, and using mathematical analysis as a tool for modeling continuous processes and changes.
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About the course

The course Mathematical Analysis is designed to provide students with a strong foundation in the fundamental concepts and methods of higher mathematics. The discipline introduces key topics such as functions, limits, continuity, derivatives, integrals, sequences, series, and functions of several variables. These concepts form the theoretical basis for many areas of science, engineering, computer science, economics, and applied research. During the course, students learn how to analyze the behavior of functions, determine limits, investigate continuity, calculate derivatives, and apply differentiation techniques to solve practical problems. Special attention is given to the use of derivatives in studying monotonicity, extrema, optimization problems, and graph construction. The course also covers integral calculus, including indefinite and definite integrals, methods of integration, and applications of integrals to the calculation of areas, volumes, and other real-world quantities. In addition, students develop logical thinking, analytical reasoning, and mathematical problem-solving skills. They learn to interpret mathematical formulas, understand graphical representations, and connect theoretical concepts with practical applications. Mathematical Analysis helps students build the necessary mathematical background for further study of differential equations, probability theory, numerical methods, mathematical modeling, and specialized professional disciplines. By the end of the course, students are expected to understand the main principles of mathematical analysis, apply analytical methods correctly, solve standard and applied problems, and use mathematical language accurately in academic and professional contexts.

Team
Mamatova Gulnar Ugizbayevna
Mamatova Gulnar Ugizbayevna is an Associate Professor of the Department of MCM and a Candidate of Technical Sciences. She teaches the courses Differential Equations, Mathematical Analysis, Probability Theory, and Numerical Methods. In her teaching practice, she combines strong fundamental mathematical training with a practice-oriented approach, paying special attention to the development of students’ analytical thinking, modeling skills, and ability to solve applied problems.
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