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Бакалавриат 2026/2027

Математический анализ

Статус: Курс обязательный (Прикладной анализ данных)
Когда читается: 1-й курс, 1-4 модуль
Охват аудитории: для своего кампуса
Язык: английский
Кредиты: 8
Контактные часы: 136

Course Syllabus

Abstract

The discipline gives the fundamentals of mathematics, provides the foundation for mathematical modeling, and introduces the first concepts of data analysis. The prerequisites are high school algebra and trigonometry. Prior experience with calculus is helpful but not essential.
Learning Objectives

Learning Objectives

  • Students will develop an understanding of fundamental concepts of the single and multi variable calculus and form a range of skills that help them work efficiently with these concepts.
  • Students will gain knowledge of the derivatives of single-variable functions, their integral, and the derivatives of multi-variable functions.
  • The course will give students an understanding of simple optimization problems.
Expected Learning Outcomes

Expected Learning Outcomes

  • Analyze functions represented in a variety of ways: graphical, numerical, analytical, or verbal, and understand the relationships between these various representations
  • Students should be able to understand and apply basic concepts of the theory of limits, continuous and differentiable single-variable functions, antiderivatives and integrals of single-variable functions, continuous and differentiable several-variable functions.
  • Apply numerical algorithms that solve algebraic equations and compute derivatives and integrals, to model a written description of simple economic or physical phenomena with functions, differential equations, or an integral, use mathematical analysis to solve problems, interpret results, and verify conclusions, determine the reasonableness of solutions, including sign, size, relative accuracy, and units of measurement.
  • Compute derivatives and antiderivatives.
  • Compute limits of sequences and functions
  • Describe the space of several variables, convergence in the space, and properties of the distance.
  • Determine the convergence of improper integrals.
  • Estimate the asymptotical behavior of functions.
  • Formulate and solve simple optimization problems.
  • Represent a function as the Taylor polynomial and a remainder term.
  • Apply basic concepts of the theory of limits, continuous and differentiable single-variable functions, antiderivatives and integrals of single-variable functions, continuous and differentiable several-variable functions.
  • Determine basic principles of numerical algorithms that solve algebraic equations and compute derivatives and integrals.
  • Define the relationship between the derivative and the definite integral, as expressed by the Fundamental Theorem of Calculus.
  • Find the extrema of single- and several-variable functions.
Course Contents

Course Contents

  • Sequences. Limit of a sequence
  • Continuous functions
  • Differentiable functions
  • Integration
  • Space of several variables and continuous functions on it
  • Differentiation of functions of several variables
Assessment Elements

Assessment Elements

  • non-blocking Mid1
    Control work
  • non-blocking Mid2
    Control work
  • non-blocking Colloq1
  • non-blocking Colloq2
  • non-blocking Bonus1
  • non-blocking Bonus2
  • non-blocking HW1
  • non-blocking HW2
  • non-blocking Quiz1
  • non-blocking Quiz2
  • non-blocking Exam1
    At the end of the second module the students pass a written exam. Duration of the exam is 120 minutes.
  • non-blocking Exam2
    At the end of the fourth module the students pass a written exam. Duration of the exam is 120 minutes.
Interim Assessment

Interim Assessment

  • 2026/2027 2nd module
    G1=0.2*Mid1+0.2*Colloq1+0.15*Quiz1*(2-Q1)+0.15*HW1*Q1+0.3*Exam1+Bonus1 (no rounding) Final grade for semester 1: Final1=min{Round(G1), 10}. Arithmetic rounding
  • 2026/2027 4th module
    G2=0.2*Mid2+0.2*Colloq2+0.15*Quiz2*(2-Q2)+0.15*HW2*Q2+0.3*Exam2+Bonus2 (no rounding) Final grade for semester 2: Final1=min{Round(G2), 10}. Arithmetic rounding
Bibliography

Bibliography

Recommended Core Bibliography

  • Advanced calculus, Friedman, A., 2007
  • Calculus early transcendentals, Stewart, J., 2012
  • Numerical recipes : the art of scientific computing, Press, W. H., 2007

Recommended Additional Bibliography

  • Курс дифференциального и интегрального исчисления. Т.1: ., Фихтенгольц, Г. М., 2001
  • Сборник задач и упражнений по математическому анализу : учеб. пособие для вузов, Демидович, Б. П., 2003

Authors

  • Abdulkhakimov Mukhiddin