logo
Item card
logo

Proseminar

Some basic information about the module

Cycle of education: 2019/2020

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Mathematics

The area of study: sciences

The profile of studing:

The level of study: second degree study

Type of study: full time

discipline specialities : Applications of Mathematics in Economics

The degree after graduating from university: master

The name of the module department : Departament of Mathematical Modelling

The code of the module: 4055

The module status: mandatory for teaching programme with the posibility of choice Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 2 / C30 / 2 ECTS / Z

The language of the lecture: Polish

The name of the coordinator 1: Bohdan Datsko, DSc, PhD

office hours of the coordinator: pon. 12.15-13.45, wt. 12.15-13.45

The name of the coordinator 2: Myroslav Kutniv, DSc, PhD

The aim of studying and bibliography

The main aim of study:

The general information about the module:

Bibliography required to complete the module
Bibliography used during classes/laboratories/others
1 Калиткин Н.Н. Численные методы. М.:Наука. 1978
2 Ортега Дж., Пул У. Введение в численные методы решения дифференциальных уравнений. М.:Наука. 1986.
3 Mikłaszewska N.E., Mikłaszewski R.I. Słownik matematyczny polsko-rosyjski M.:Fizmatgiz. 1963
Bibliography to self-study
1 Самарский А.А., Гулин А.В. Численные методы М.:Наука. 1989

Basic requirements in category knowledge/skills/social competences

Formal requirements: The student satisfies the formal requirements set out in the study regulations

Basic requirements in category knowledge: K_W02, K_W04, K_W13

Basic requirements in category skills: K_U02, K_U03, K_U04,K_U13, K_U14, K_U15,K_U16, K_U17

Basic requirements in category social competences: K_K02, K_K04, K_K06, K_K07

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with PRK
01 K_W02+
K_W04+
K_W13+++
K_U02+++
K_U03+
K_U04+
K_U13+
K_U14+
K_U15+
K_U16+
K_U17++
K_K01+
K_K02++
K_K04+
K_K06++
K_K07+
P7S_KK
P7S_KO
P7S_KR
P7S_UK
P7S_UO
P7S_UU
P7S_UW
P7S_WG
P7S_WK

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
2 TK01 Mathematical models and numerical methods. Direct methods for solving systems of linear equations. Gaussian elimination. Calculating the determinant and matrix inversion. Iterative methods for solving systems of linear equations. C01-C03 MEK01
2 TK02 Numerical solution of nonlinear equations and their systems C04-C06 MEK01
2 TK03 Approximation of function. Lagrange's and Newton's interpolation polynomials. Estimation of error for interpolation polynomial. The method of least squares for approximation functions. Numerical differentiation. C07-C10 MEK01
2 TK04 Numerical integration. Newton and Cotes quadrature. Composite Newton and Cotes quadrature. C11-C13 MEK01
2 TK05 Methods of numerical solution of the initial value problem for ordinary differential equations C14-C15 MEK01

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Class (sem. 2) The preparation for a Class: 15.00 hours/sem.
contact hours: 30.00 hours/sem.
Advice (sem. 2) The preparation for Advice: 2.00 hours/sem.
The participation in Advice: 1.00 hours/sem.
Credit (sem. 2) The preparation for a Credit: 5.00 hours/sem.
The oral credit: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Class Written work (tasks). Working in the classroom
The final grade Average rating: written work(70%), work in the classroom (30%)

Sample problems

Required during the exam/when receiving the credit
kolok3.pdf

Realized during classes/laboratories/projects
Zad2.pdf

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: yes

1 B. Datsko; M. Kutniv Explicit numerical methods for solving singular initial value problems for systems of second-order nonlinear ODEs 2024
2 N. Khomenko; A. Kunynets; M. Kutniv Algorithmic Realization of an Exact Three-Point Difference Scheme for the Sturm–Liouville Problem 2023
3 N. Khomenko; A. Kunynets; M. Kutniv Three-Point Difference Schemes of High Order of Accuracy for the Sturm–Liouville Problem 2023
4 B. Datsko; V. Gafiychuk; C. Naconechna Pattern Formation in Activator-Inhibitor Fractional Reaction-Diffusion Systems 2022
5 M. Król; M. Kutniv New Algorithmic Implementation of Exact Three-Point Difference Schemes for Systems of Nonlinear Ordinary Differential Equations of the Second Order 2022
6 B. Datsko Mathematical modeling of complex spatio‐temporal dynamics in autocatalytic reaction‐diffusion systems with anomalous diffusion 2021
7 B. Datsko; A. Kunynets; M. Kutniv; A. Włoch New explicit high‐order one‐step methods for singular initial value problems 2021
8 G. Harmatiy; B. Kalynyak; M. Kutniv Uncoupled Quasistatic Problem of Thermoelasticity for a Two-Layer Hollow Thermally Sensitive Cylinder Under the Conditions of Convective Heat Exchange 2021
9 B. Datsko; A. Kunynets; M. Kutniv; A. Włoch A new approach to constructing of explicit one-step methods of high order for singular initial value problems for nonlinear ordinary differential equations 2020
10 B. Datsko; M. Kutniv; A. Włoch Mathematical modelling of pattern formation in activator–inhibitor reaction–diffusion systems with anomalous diffusion 2020
11 B. Datsko; I. Podlubny; Y. Povstenko Time-Fractional Diffusion-Wave Equation with Mass Absorption in a Sphere under Harmonic Impact 2019