Course: Mathematics II

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Course title Mathematics II
Course code KMI/KMTII
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction unspecified
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Čapková Tereza, Ing.
  • Konopa Michal, Mgr.
  • Fiala Jan, RNDr. et PhDr. Ph.D.
  • Šulista Marek, PhDr. Ph.D.
  • Berková Ilona, Ing. Ph.D.
  • Vocetková Klára, Mgr. Ph.D.
  • Chládek Petr, Mgr. 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)
  • Class attendance - 18 hours per semester
  • Preparation for exam - 45 hours per semester
  • Preparation for credit - 50 hours per semester
  • Preparation for classes - 55 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
Mathematics I (MATI, MATIA). Student has to know basics of calculus and linear algebra.
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

Pre-examination Requirements: Active participation in the first consultation. Gradual completion of tasks in the course Mathematics 2 in the e-learning system Moodle. The students who are not active in the course for 30 days loose the possibility of obtaining credits. To take 6 credit tests during the semester (2 open questions, time allocated is 10 minutes), to score at least 70% in average of scores in best 3 tests. The test may be taken online from home or at the consultations provided by the teacher. The dates of the tests are published in the e-learning system Moodle at the beginning of the semester, substitute tests (apology necessary within 3 days) are taken in the last week of the teaching part of the semester and are taken only in person (not online). Students may take each test once only. The students who succeed in the credit tests may take the exam and they have to register for the exam in the system STAG. If students cannot take the exam, they have to apologise within 3 days, otherwise they are considered to fail. Examination Requirements: Knowledge of the subject matter given by the syllabus. To succeed in the examination consisting of two parts - written (at least 50%) and oral (at least 50%), the written exam test consists of 4 complex problems with open questions. The weights are 50% for the written part and 50% for the oral part. Grading: Excellent (91-100%) Excellent minus (81-90%) Very good (71-80%) Very good minus (61-70%) Good (51-60%) Failed (0-50%)
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.


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