Course details

Mathematical Analysis 1

IMA1 Acad. year 2023/2024 Summer semester 4 credits

Current academic year

Limit, continuity and derivative of a function. Extrema and graph properties. Approximation and interpolation. Indefinite and definite integrals.

Guarantor

Course coordinator

Language of instruction

Czech, English

Completion

Credit+Examination (written)

Time span

  • 26 hrs lectures
  • 26 hrs exercises

Assessment points

  • 80 pts final exam
  • 20 pts numeric exercises

Department

Lecturer

Instructor

Learning objectives

The main goal of the course is to explain the basic principles and methods of calculus. The emphasis ismput on handling the practical use of these methods for solving specific tasks and the ability to understand the basic problems of calculus and use derivatives and integrals for solving specific problems.

Why is the course taught

Fundamentals of calculus are a necessary part of a study at a technical university because virtually all technical and physical subjects employ the concepts of a derivative and integral.

Recommended prerequisites

Prerequisite knowledge and skills

Secondary school mathematics.

Study literature

  • Fong, Y., Wang, Y., Calculus, Springer, 2000.
  • Ross, K. A., Elementary analysis: The Theory of Calculus, Springer, 2000.
  • Small, D. B., Hosack, J. M., Calculus (An Integrated Approach), McGraw-Hill Publ. Comp., 1990.
  • Thomas, G. B., Finney, R. L., Calculus and Analytic Geometry, Addison-Wesley Publ. Comp., 1994.

Syllabus of lectures

  1. The concept of a function of a real variable, properties of functions and basic operations with functions.
  2. Elementary functions of a real variable.
  3. Limit and continuity of a function. Limit of a sequence.
  4. Derivative and a differential of a function.
  5. Higher-order derivatives. Taylor polynomial. Extrema of a function.
  6. Graph properties.
  7. Indefinite integral, basic methods of integration.
  8. Definite Riemann integral, its applications.
  9. Improper integral.
  10. Numerical integration.
  11. Numerical solutions of equations.
  12. Interpolation and approximation.

Syllabus of numerical exercises

Problems discussed at numerical classes are chosen so as to complement suitably the lectures.

Progress assessment

Written tests during the semester (maximum 20 points). Classes are compulsory. Presence at lectures will not be controlled, absence at numerical classes has to be excused.

Exam prerequisites

The condition for receiving the credit is obtaining at least 8 points from the tests during the semester and active work at classes.

Course inclusion in study plans

  • Programme BIT, 1st year of study, Compulsory
  • Programme BIT (in English), 1st year of study, Compulsory
  • Programme IT-BC-3, field BIT, 1st year of study, Compulsory
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