Course: Mathematics

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Course title Mathematics
Course code KMA/MAT
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Brada Roman, Ing. Ph.D.
Course content
Sequences and their basic properties. Operations with sequences. Limit of a sequence. Real functions of a single real variable - properties of functions, operations with functions. Limit of a function - definition of limit and its calculation. Function continuity. Function derivatives - definition and their geometric and economic significance. Calculation of derivatives. Application of function derivatives, optimization problems. Indefinite integral and methods of computation. Definite integral and its applications. Differential equations - basic concepts and methods for solving first-order differential equations. Higher-order differential equations. Application in economic problems. Vectors, matrices, and operations with them. Systems of linear equations and their solutions. Determinants. Inverse matrices and applications of matrix calculus.

Learning activities and teaching methods
  • Preparation for formative assessments (2-20) - 20 hours per semester
  • Preparation for an examination (30-60) - 45 hours per semester
  • Contact hours - 65 hours per semester
prerequisite
Knowledge
employing mathematical concepts and procedures within the scope of high school curriculum
to think logically and not harbor negative prejudices towards mathematics
recognize basic types of functions, their most important properties, and draw graphs of these functions (linear, quadratic, exponential, logarithmic, linear rational)
Skills
to perform calculations with algebraic expressions
to not have a negative attitude towards abstract thinking
to solve linear and quadratic equations and inequalities
Competences
N/A
N/A
learning outcomes
Knowledge
mathematical terms and procedures from the areas of mathematics listed in the course syllabus
selected applications of mathematical methods and approaches in modeling economic phenomena
Skills
applying the principles of differential and integral calculus to model simple types of problems
applying the principles of matrix calculus to model simple types of problems
correctly applying both the formal and substantive aspects in mathematical expression, both in written and oral form
Competences
N/A
N/A
teaching methods
Knowledge
Lecture
Practicum
Self-study of literature
Skills
Lecture
Practicum
Self-study of literature
Competences
Lecture
Practicum
Self-study of literature
assessment methods
Knowledge
Combined exam
Test
Skills
Combined exam
Test
Competences
Combined exam
Test
Recommended literature
  • Anton, H.; Rorres, Ch. Elementary Linear Algebra: Applications Version. Wiley, 2013. ISBN 978-1118434413.
  • Canuto, Claudio. Mathematical analysis I. New York : Springer, 2008. ISBN 978-88-470-0875-5.
  • Teschl, Gerald. Ordinary differential equations and dynamical systems. Providence : American Mathematical Society, 2012. ISBN 978-0-8218-8328-0.
  • Thomson, Brian S.; Bruckner, Judith B.,; Bruckner, Andrew M. Elementary real analysis. Second edition. 2008. ISBN 978-1-4348-4367-8.
  • Watkins, David S. Fundamentals of matrix computations. 2nd ed. New York : John Wiley & Sons, 2002. ISBN 0-471-21394-2.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester