230-0201/15 – Mathematics (BcM1)

Gurantor departmentDepartment of MathematicsCredits6
Subject guarantorRNDr. Petr Volný, Ph.D.Subject version guarantorRNDr. Petr Volný, Ph.D.
Study levelundergraduate or graduate
Study languageCzech
Year of introduction2026/2027Year of cancellation
Intended for the facultiesFASTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
CER365 doc. Ing. Martin Čermák, Ph.D.
DUB02 RNDr. Viktor Dubovský, Ph.D.
POS220 Ing. Lukáš Pospíšil, Ph.D.
SVE0109 Ing. Tadeáš Světlík
URB0186 RNDr. Zbyněk Urban, Ph.D.
VAR0072 Ing. Radek Varga
VOL18 RNDr. Jana Volná, Ph.D.
VOL06 RNDr. Petr Volný, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+3

Subject aims expressed by acquired skills and competences

Mathematics is an essential part of education on technical universities. It should be considered rather the method in the study of technical courses than a goal. The aim of the course is therefore to teach students not only basic mathematical knowledge, procedures and methods, but also to deepen their logical thinking. Students should learn how to analyse problems, distinguish between important and unimportant, propose a solution procedure, verify each step of a method, generalize achieved results, analyse correctness of achieved results with respect to given conditions, apply these methods to solve technical problems, understand that mathematical methods and thought processes are applicable beyond mathematics.

Teaching methods

Lectures
Individual consultations
Tutorials
Other activities

Summary

Mathematics I is connected with secondary school education. It is divided in three parts, differential calculus of functions of one real variable, linear algebra and analytic geometry in the three dimensional Euclidean space E3. The aim of the first chapter is to handle the concept of a function and its properties, limits of functions, derivatives of functions and their applications. The second chapter emphasizes the systems of linear equations and the methods of solution. The third chapter introduces the basics of vector calculus and linear objects in three dimensional space.

Compulsory literature:

Doležalová, J.: Mathematics I. VŠB – TUO, Ostrava 2005, ISBN 80-248-0796-3, http://mdg.vsb.cz/portal/en/Mathematics1.pdf. Hass, J.R.; Heil, C.E.; Bogacki, P.; Weir, M.D.: Thomas' Calculus, 15th Ed., Pearson, 2023. Trench, W.F.: Introduction to real analysis, Free Edition 1.06, January 2011, ISBN 0-13-045786-8.

Recommended literature:

Harshbarger, Ronald; Reynolds, James: Calculus with Applications, D.C. Heath and Company 1990, ISBN 0-669-21145-1.

Additional study materials

Way of continuous check of knowledge in the course of semester

Ongoing submission of tasks assigned during the exercises on the dates set by the teacher. Written tests, discussion on specialized topics covered in the lectures.

E-learning

http://www.studopory.vsb.cz http://mdg.vsb.cz

Other requirements

Passing the course, requirements Course-credit -participation on tutorials is obligatory, 30% of absence can be apologized, -elaborate programs, -pass the written tests, Point classification: 5-20 points. Exam Practical part of an exam is classified by 0 - 60 points. Practical part is successful if student obtains at least 25 points. Theoretical part of the exam is classified by 0 - 20 points. Theoretical part is successful if student obtains at least 5 points.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Real functions of one real variable. Definition, graph. Bounded function, monotonic functions, even, odd and periodic functions. One-to-one functions, inverse and composite functions. 2. Limit of a function, improper limit of a function. Limit at an improper point. Continuous and discontinuous functions. 3. Differential calculus of functions of one real variable. Derivative of a function, its geometrical and physical meaning. Derivative rules. Derivative of elementary functions. 4. l’Hospital rule. 5. Differential of a function. Derivatives of higher orders. 6. Relation between derivative and monotonicity, convexity and concavity of a function. 7. Extrema of a function. Asymptotes. Plot graph of a function. 8. Linear algebra. Matrices. Matrix operations. Rank of a matrix. Inverse matrix. 9. Determinants, properties of determinants. 10. Solution of systems of linear equations. Frobenius theorem. Gaussian elimination algorithm. Cramer’s rule. 11. Analytic geometry. Euclidean space. Scalar, vector and triple product of vectors, properties. 12. Equation of a plane, line in E3. Relative position problems. 13. Distance problems.

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty

Occurrence in special blocks

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Assessment of instruction

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