230-0201/05 – Mathematics (BcM1)

Gurantor departmentDepartment of MathematicsCredits4
Subject guarantorRNDr. Petr Volný, Ph.D.Subject version guarantorRNDr. Petr Volný, Ph.D.
Study levelundergraduate or graduate
Study languageCzech
Year of introduction2018/2019Year of cancellation
Intended for the facultiesFASTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
CER365 doc. Ing. Martin Čermák, Ph.D.
KRA44 Mgr. Kateřina Kozlová, 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 3+3

Subject aims expressed by acquired skills and competences

The aim of the subject is to teach students not only basic mathematical knowledge, procedures and methods, but also to deepen their logical thinking. Students should learn to analyze a problem, distinguish the essential from the unessential, propose a solution procedure, check individual steps of the solution, generalize the conclusions, evaluate the correctness of the results with respect to the given conditions, apply tasks to solving technical problems, and understand that mathematical methods and thought processes are applicable in areas other than mathematics.

Teaching methods

Lectures
Individual consultations
Tutorials
Other activities

Summary

The subject is divided into three chapters - differential calculus of functions of one variable, linear algebra and analytical geometry in three-dimensional Euclidean space E3. The student will become familiar with the fundamental mathematical concept of differential calculus with a focus on civil engineering. In linear algebra, the student will learn to solve systems of linear equations by means of methods used in modeling building structures. In analytical geometry of the three-dimensional space, the student will learn mathematical description of elementary objects, point, line, plane and the students will acquire the skills to solve positional and metric problems.

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

Passing the course, requirements Course-credit -participation on tutorials is obligatory, 20% 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. Point quantification in the interval 100 - 91 90 - 81 80 - 71 70 - 61 60 - 51 50 - 0 ECTS grade A B C D E F Point quantification in the interval 100 - 86 85 - 66 65 - 51 50 - 0 National grading scheme excellent very good satisfactory failed List of theoretical questions 1. Definition of real functions of one real variable 2. Monotonic functions 3. Bounded functions 4. Even, odd and periodic functions 5. Composite functions 6. One-to-one functions, inverse functions 7. Trigonometric functions, D(f), H(f), graph 8. Inverse trigonometric functions, D(f), H(f), graph 9. Limit of a function 10. One-side limit 11. Limit theorems 12. Continuity of functions 13. Definition of derivation of function at a point 14. Geometrical meaning of derivation of function at a point 15. Derivation rules 16. Derivation of composite functions 17. Derivation of function f(x)^g(x) 18. Derivation of parametric and implicit functions 19. Differential of functions 20. Taylor polynomial 21. l´Hospital rule 22. Extrema of functions 23. Concavity, convexity, inflection points 24. Asymptotes 25. Matrices 26. Matrices, algebraic operations 27. Rank of a matrix 28. Determinant of a matrix 29. Inverse 30. System of linear equations 31. Frobenius theorem 32. Cramer´s rule 33. Gaussian elimination algorithm 34. Scalar and triple product of vectors 35. Cross product of vectors 36. Equation of a line in a 3-dimensional space 37. Equation of a plane in a 3-dimensional space 38. Relative position of two lines 39. Relative position of a line and plane 40. Relative position of two planes 41. Distance of a point from a line 42. Distance of a point from a plane 43. Angle between lines 44. Angle between a line and a plane 45. Transversal and common perpendicular of two skew lines

E-learning

http://www.studopory.vsb.cz http://mdg.vsb.cz (in Czech language)

Other requirements

At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse).

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Syllabus of lecture 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. Elementary functions (including inverse trigonometric functions). 3. Limit of a function, infinite limit of a function. Limit at an improper point. Continuous and discontinuous functions. 4. Differential calculus of functions of one real variable. Derivative of a function, its geometrical and physical meaning. Derivative rules. 5. Derivative of elementary functions. 6. Differential of a function. Derivative of higher orders. l’Hospital rule. 7. Relation between derivative and monotonicity, convexity and concavity of a function. 8. Extrema of a function. Asymptotes. Plot graph of a function. 9. Linear algebra. Matrices. Matrix operations. Rank of a matrix. Inverse. 10. Determinants, properties of a determinant. 11. Solution of systems of linear equations. Frobenius theorem. Cramer’s rule. Gaussian elimination algorithm. 12. Analytic geometry. Euclidean space. Scalar, cross and triple product of vectors, properties. 13. Equation of a plane, line in E3. Relative position problems. 14. Metric or distance problems. Syllabus of tutorial 1. Domain of a real function of one real variable. 2. Bounded function, monotonic functions, even, odd and periodic functions. 3. One-to-one functions, inverse and composite functions. Elementary functions. 4. Inverse trigonometric functions. Limit of functions. 5. Derivative and differential of functions. 6. l’Hospital rule. Monotonic functions, extrema of functions. 7. 1st test (properties of functions, limits). Concave up function, concave down function, inflection point. 8. Asymptotes. Course of a function. 9. 2nd test (derivative of a function). Matrix operations. 10. Elementary row operations, rank of a matrix, inverse. 11. Determinants. 12. Solution of systems of linear equations. Gaussian elimination algorithm. 13. 3rd test (linear algebra). Analytic geometry. 14. Reserve.

Conditions for subject completion

Full-time form (validity from: 2018/2019 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 20  5
        Examination Examination 80 (80) 30 3
                Písemná zkouška Written examination 60  25
                Ústní zkouška Oral examination 20  5
Mandatory attendence participation: At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse).

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Conditions for subject completion and attendance at the exercises within ISP: Mandatory participation in the course is not required. Other conditions for subject completion will respect the individual needs of the student.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (B3502) Architecture and Construction (3501R011) Architecture and Construction P Czech Ostrava 1 Compulsory study plan
2019/2020 (B3502) Architecture and Construction (3501R011) Architecture and Construction P Czech Ostrava 1 Compulsory study plan
2018/2019 (B3502) Architecture and Construction (3501R011) Architecture and Construction P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2018/2019 Winter