Course: Mathematics 2

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Course title Mathematics 2
Course code KMI/MATII
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 1
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Vocetková Klára, Mgr. Ph.D.
  • Chládek Petr, Mgr. Ph.D.
  • Berková Ilona, Ing. Ph.D.
  • Šulista Marek, PhDr. Ph.D.
Course content
1. System of linear equations, Gauss method, structure of solution 2. Square matrices, determinants, 3. Matrix equations, inverse matrix 4. Advanced methods of integration 5. Limits of functions, formal definition of derivatives 6. Derivatives, derivation of formulas 7. Derivatives, asymptotic behaviour, applications 8. Function analysis, detailed 9. Multivariate calculus, partial derivatives 10. Extremes of multivariates functions 11. Multivariate integration, Fubini theorem 12. Interpolation methods, piecewise affine function, regression 13. Interpolation methods, splines, polynomial interpolation

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with multi-media resources (texts, internet, IT technologies), Blended learning
  • Preparation for classes - 51 hours per semester
  • Class attendance - 42 hours per semester
  • Preparation for credit - 40 hours per semester
  • Preparation for exam - 35 hours per semester
Learning outcomes
It is the second part of the course of Engineering Mathematics. It is targeted at the fundamenals of the differential and integral calculus of one real variable and the differential calculus of multi-variate functions and linear algebra. Applications in economics are emphasised.
The student will understand the basic concepts of differential and integral calculus and linear algebra. He/she will perform the basic techniques of differentiation and integration and their applications. He/she will solve optimisation problems includeing multivariete problems.
Prerequisites
Student has to know basics of calculus and linear algebra. Prerequisites: Mathematics I (MATI, MATIA).
KMI/CM1
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KMI/KMATA
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KMI/KMATI
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KMI/MATI
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KMI/MATIA
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KMI/M1
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KMI/M1A
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KMI/YMATI

Assessment methods and criteria
Combined exam, Test

- active participation in all seminars (100%) - to pass credit tests (at least 70%), 6 credit tests during 2 open questions, time allocated is 10 minutes, the final score is average of 3 best attempts, student has one attempt for each test only - to pass a combined examination - written part (at least 50%), 4 open questions, time allocated is 60 minutes and following oral part (at least 50%)
Recommended literature
  • BUDNICK, F. S. Applied Mathematics for Business, Economics and the Social Sciences. McGraf-Hill, 1993.
  • Klůfa, J., Coufal, J. Matematické struktury (Matematika A pro VŠE). Praha, 1995. ISBN 80-7079-162-4.
  • Nýdl a kol. Matematika I - Mathematics I (Cvičení - Seminar). Č. Budějovice: EF JU, 2007.
  • Nýdl a kol. Matematika II - Mathematics II. Cvičení - Seminar.. Č.Budějovice: EF JU, 2007.
  • Nýdl a kol. Mathematics 2: Exercises, questions, applications. 2016.
  • NÝDL, V., KLUFOVÁ, R. Matematika (Část 2 - Matematická analýza). Č. Budějovice: ZF JU, 1998.
  • Nýdl, V., Lexová, R. Matematika (Část 1 - matematické struktury). skriptum ZF JU, ČB, 1996.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics Study plan (Version): Management of Commerce (4) Category: Economy 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Economics Study plan (Version): Economic Informatics (4) Category: Economy 1 Recommended year of study:1, Recommended semester: Summer