VŠTE:MAT Mathematics - Course Information
MAT Mathematics
Institute of Technology and Business in České Budějovicewinter 2020
- Extent and Intensity
- 0/4/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Dana Smetanová, Ph.D. (seminar tutor)
RNDr. Milan Vacka (seminar tutor)
RNDr. Jana Vysoká, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Zdeněk Dušek, Ph.D.
Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice - Timetable of Seminar Groups
- MAT/X01: Sun 11. 10. 8:00–9:30 D416, 9:40–11:10 D416, 11:25–12:55 D416, Sat 7. 11. 8:00–9:30 E5, 9:40–11:10 E5, 11:25–12:55 E5, Sat 28. 11. 8:00–9:30 E5, 9:40–11:10 E5, Sun 13. 12. 8:00–9:30 E5, 9:40–11:10 E5, D. Smetanová
MAT/SX01: Mon 11:25–12:55 N109, Fri 11:25–12:55 N109, J. Vysoká
MAT/SX02: Mon 13:05–14:35 N109, Fri 13:05–14:35 N109, D. Smetanová
MAT/SX03: Mon 11:25–12:55 N109, Fri 11:25–12:55 N109, J. Vysoká - Prerequisites
- The student masters the range of secondary school mathematics or the ZAM course.
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives supported by learning outcomes
- The aim of this course is to provide the students with the basic knowledge of algebra, differential and integral calculus of functions of one variable needed in the study of specialized subjects. Then the aim is also to provide and clarify the main methods and algorithms. After the successful completing of the course, the student solves basic tasks of the course (counting with vectors, matrices and determinants, solving systems of linear equations, properties and graphs of elementary functions, calculation of limits and function derivation, investigating of function process, counting of primitive functions, idefinite integral, the direct method, per-partes, substitution method, calculation of definite integrals and content of a plane figure) individually.
- Learning outcomes
- After the successful completing of the course, the student solves basic tasks of the course (counting with vectors, matrices and determinants, solving systems of linear equations, properties and graphs of elementary functions, calculation of limits and function derivation, investigating of function process, counting of primitive functions, idefinite integral, the direct method, per-partes, substitution method, calculation of definite integrals and content of a plane figure) individually.
- Syllabus
- 1. Vector, vector space, equality of vectors, counting with the vectors, linear combinations of vectors, linear dependence and independence of vectors, basis and dimension of vector space, scalar product of vectors. 2. Matrices, rank of matrices, matrix addition and multiplication, inverse matrix, Frobenius theorem, solving systems of linear equations using Gaussian method. 3. Determinants, Cramer's rule. 4. Functions of one real variable, domain and field of functional values, basic algebraic functions and non-algebraic. 5. Inverse functions, even and odd functions, inverse trigonometric functions. 6. Limit of function 7. Derivative function, basic rules for derivate, derivative compound function, function graph tangent. 8. L'Hospital's rule. The importance of first and second derivative for the function course (increasing, decreasing, convex, concave, local extrema and inflection points). 9. The primitive function, indefinite integral, direct integration. 10. The method of integration by-partes. 11. Substitution method. 12. Definite integral. 13. Calculation of a plane figure.
- Literature
- required literature
- MOUČKA, Jiří a Petr RÁDL. Matematika pro studenty ekonomie. 2., uprav. a dopl. vyd. Praha: Grada Publishing, 2015. Expert (Grada). ISBN 978-80-247-5406-2.
- CHLÁDEK, Petr. Matematika I : studijní opora pro kombinované studium. 1. vyd. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích, 2012, 44 pp. ISBN 978-80-7468-004-5. info
- recommended literature
- MUSILOVÁ, Jana and Pavla MUSILOVÁ. Matematika I : pro porozumění i praxi : netradiční výklad tradičních témat vysokoškolské matematiky. 2., dopl. vyd. Brno: VUTIUM, 2009, 339 pp. ISBN 978-80-214-3631-2. Obsah info
- KAŇKA, Miloš. Sbírka řešených příkladů z matematiky : pro studenty vysokých škol. Vyd. 1. Praha: Ekopress, 2009, 298 s. ISBN 978-80-86929-53-8. Obsah info
- KAŇKA, Miloš. Vybrané partie z matematiky pro ekonomy. Vyd. 1. Praha: Vysoká škola ekonomická, Fakulta informatiky a statistiky, 1998, 231 s. ISBN 80-7079-537-9. info
- Forms of Teaching
- Lecture
Seminar
Exercise
Tutorial
Consultation - Teaching Methods
- Frontal Teaching
Group Teaching - Competition
Group Teaching - Cooperation
Group Teaching - Collaboration
Project Teaching
Brainstorming
Critical Thinking
Individual Work– Individual or Individualized Activity
Teaching Supported by Multimedia Technologies
- Student Workload
Activities Number of Hours of Study Workload Daily Study Combined Study Presentation 6 6 Preparation for the Mid-term Test 14 13 Preparation for Seminars, Exercises, Tutorial 18 13 Preparation for the Final Test 20 20 Semester project 20 20 Attendance on Seminars/Exercises/Tutorial/Excursion 26 32 Total: 104 104 - Assessment Methods and Assesment Rate
- Exam – written 70 %
activity during seminar 30 % - Exam conditions
- Grading of the course: Activity during seminar: maximum 30% (0-30 points), Final Test: maximum 70% (0-70 points). Successful graduates of the course have to get totally at least 70 points: A 100 – 90, B 89,99 – 84, C 83,99 – 77, D 76,99 – 73, E 72,99 – 70, FX 69,99 – 30, F 29,99 - 0.
- Language of instruction
- Czech
- Teacher's information
- Attendance in lessons is defined in a separate internal standard of ITB (Evidence of attendance of students at ITB). It is compulsory, except of the lectures, for full-time students to attend 70 % lesson of the subjet in a semester.
- Enrolment Statistics (recent)
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