Course: Mathematics 2

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Course title Mathematics 2
Course code KMA/M2SE
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kopal Stanislav, doc. RNDr. Ph.D.
  • Breitfelder Ondřej, Mgr.
  • Čižmář Jiří, doc. Ing. Ph.D.
  • Pinte Jan, RNDr. Ph.D.
  • Vávrová Miroslava, RNDr.
  • Valentová Ivana, doc. Ing. Ph.D.
Course content
Week 1: Primitive functions and indefinite integral. Week 2: Calculating the integral (per-partes, integration by substitution). Week 3: Definite integral and its application. Week 4: Matrices - basic concepts, operations with matrices, rank of a matrix. Week 5: Systems of linear algebraic equations - matrix notation, existence of solutions, Gaussian elimination method, inverse matrices Week 6: Linear vector space - linear dependence and independence of LVS elements, bases and dimensions of LVS Week 7: Determinant - calculation, use in solving a system of linear algebraic equations Week 8: Eigenvalues and eigenvectors of a matrix, Jordan canonical form of a matrix. Week 9: Ordinary differential equations of the 1st order, nonlinear, linear. Formulation of the initial value problem. Week 10: Methods of solving ODEs of the 1st order: direct integration, separation, variation of parameters. Week 11: Higher order linear differential equations - homogeneous, nonhomogeneous, with constant coefficients. Characteristic equation method. Week 12: Variation of parameters. Estimate of the particular integral. Week 13: Systems of the 1st order differential equations.

Learning activities and teaching methods
Interactive lecture, Lecture with practical applications, Practicum
  • Preparation for formative assessments (2-20) - 20 hours per semester
  • Contact hours - 52 hours per semester
  • Preparation for an examination (30-60) - 32 hours per semester
prerequisite
Knowledge
identify logical symbols, statements and quantifiers
describe continuous and inverse functions
describe a limit of a function of one real variable
describe a derivative of a function of one real variable
Skills
draw graphs of elementary functions
compute a limit of a function of one real variable
differentiate a function of one real variable
solve simple systems of equations
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
define an indefinite integral and a primitive function
define a definite integral and integral sums
explain the concept of vector, matrix
characterize eigenvalues and eigenvectors of matrices
formulate initial value problem for ordinary differential equations of the first order
formulate initial and boundary value problems for ordinary differential equations of the second order
Skills
find the primitive function use integral calculus methods
calculate the determinant and the inverse matrix
solve systems of linear algebraic equations
determine eigenvalues and eigenvectors of matrices
solve an ordinary differential equation of the first order by the method of separation of variables
solve homogeneous and nonhomogeneous linear ODEs of higher order with constant coefficients
Competences
N/A
N/A
teaching methods
Knowledge
Interactive lecture
Practicum
Skills
Practicum
Lecture with visual aids
One-to-One tutorial
Task-based study method
Competences
Lecture
Practicum
Task-based study method
assessment methods
Knowledge
Combined exam
Test
Skills demonstration during practicum
Skills
Written exam
Test
Skills demonstration during practicum
Competences
Oral exam
Recommended literature
  • A. Kufner. Obyčejné diferenciální rovnice. 1993. ISBN 80-7082-106-X.
  • P. Drábek, S. Míka. Matematická analýza II. Plzeň, 2010. ISBN 978-80-7082-977-6.
  • P. Drábek, S. Míka. Matematická analýza I. Plzeň, 2003. ISBN 80-7082-978-8.
  • Teschl, Gerald. Ordinary differential equations and dynamical systems. Providence : American Mathematical Society, 2012. ISBN 978-0-8218-8328-0.
  • Tesková, Libuše. Lineární algebra. 3. vyd. Plzeň : Západočeská univerzita, 2010. ISBN 978-80-7043-966-1.
  • 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