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Differential Equations

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: 1493

The module status: mandatory for teaching programme Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 3 / W30 C45 / 5 ECTS / E

The language of the lecture: Polish

The name of the coordinator: Liliana Rybarska-Rusinek, DSc, PhD

office hours of the coordinator: podane w harmonogramie pracy jednostki.

The aim of studying and bibliography

The main aim of study: Extension of knowledge about differential equations.

The general information about the module: Training of basic methods of solving systems of ordinary differential equations and research of stability of their solutions.To familiarize students with the fundamentals of theory linear partial differential equations first and second order.

Bibliography required to complete the module
Bibliography used during lectures
1 N.M. Matwiejew Metody całkowania równań różniczkowych zwyczajnych PWN. 1972
2 A. Palczewski Równania różniczkowe zwyczajne WNT. 2004
3 H. Marcinkowska Wstęp do teorii równań różniczkowych cząstkowych PWN. 1972
Bibliography used during classes/laboratories/others
1 N.M. Matwiejew Zadania z równań różniczkowych zwyczajnych PWN. 1976
2 M.M. Smirnow Zadania z równań różniczkowych cząstkowych PWN. 1970
Bibliography to self-study
1 W.W. Stiepanow Równania różniczkowe PWN. 1964

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: It can calculate derivatives and integrals of real functions of one and several variables.He knows basic facts concerning ODE, theory of metric spaces, linear algebra and functional analysis.

Basic requirements in category skills: Student is able to solve basic types of scalar ODEs and linear first-order systems ODEs with constant coefficients.

Basic requirements in category social competences: The student is prepared to undertake objective and justified actions in order to solve the posed exercise.

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 Knows fundamental theorems on existence and uniqueness of solutions of systems ODEs. Can solve some systems of such equations use the matrix method or first integral method. lecture, solving classes test K_W01+
K_W02++
K_W03+
K_W04++
K_W05++
K_U02++
K_U03+
K_U07+
K_U08+
K_U09+
K_U14+
K_U15+
K_K04+
K_K07+
P7S_KK
P7S_KO
P7S_KR
P7S_UK
P7S_UO
P7S_UU
P7S_UW
P7S_WG
P7S_WK
02 Knows the notion of stability and asymptotic stability in tte sense of Lyapunov. Can investigate the stability of system of ODEs. lecture, solving classes test K_W01++
K_W08+
K_W10+
K_U01+
K_U02+
K_U08+
K_U10+
K_U15+
K_U17+
K_K04+
K_K07+
P7S_KK
P7S_KO
P7S_KR
P7S_UK
P7S_UO
P7S_UU
P7S_UW
P7S_WG
03 Can solve some first-order linear and quasi-linear PDEs. lecture, solving classes test K_W01+
K_U06+
K_U16+
K_K01+
K_K02+
K_K04+
K_K07+
P7S_KK
P7S_KO
P7S_KR
P7S_UU
P7S_UW
P7S_WG
04 Knows classification of second-order linear PDEs and can reduce such equation to canonical form. Can solve some second-order linear PDEs. lecture, solving classes written exam K_W01+
K_W07+
K_U04+
K_U05+
K_U06+++
K_U13+
K_K02+
K_K04+
K_K07+
P7S_KK
P7S_KO
P7S_KR
P7S_UK
P7S_UW
P7S_WG

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
3 TK01 The Cauchy (initial value) problem, existence and uniqueness of solutions of first-order systems of ODEs. Scalar n-order ODE and first-order system ODEs. General methods of solving of first-order system ODEs. Matrix method and first integral method. W01, W02, W03, W04, W05, W06, C01, C02, C03, C04, C05, C06 MEK01
3 TK02 Stability and asymptotic stability in tte sense of Lyapunov. W06, W07, , W08, C06, C07, C08 MEK02
3 TK03 Initial-value and boundary-value problems for PDEs. First-order linear and quasi-linear PDEs. W08, W09, W10, W011, C08, C09, C10, C011 MEK03
3 TK04 Canonical forms of second-order linear PDEs. Method of Separation of Variables for PDEs. The vibrating string and the wave equation. The heat equation. The Laplace's equation. W12, W13, W14, W15, C12, C13, C14, C15 MEK04

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 3) contact hours: 30.00 hours/sem.
complementing/reading through notes: 10.00 hours/sem.
Studying the recommended bibliography: 5.00 hours/sem.
Class (sem. 3) The preparation for a Class: 15.00 hours/sem.
The preparation for a test: 10.00 hours/sem.
contact hours: 45.00 hours/sem.
Finishing/Studying tasks: 10.00 hours/sem.
Advice (sem. 3) The participation in Advice: 2.00 hours/sem.
Exam (sem. 3) The preparation for an Exam: 15.00 hours/sem.
The written exam: 2.00 hours/sem.
The oral exam: 1.00 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
Lecture Presence on lectures.
Class Two written tests on the dates agreed with the students. The tests contain the obvious exercises and the extra exercises. The obvious exercises must be solved.
The final grade The final grade is the average of the exercises, written and oral exam.

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

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 A. Linkov; E. Rejwer-Kosińska; L. Rybarska-Rusinek The Study of Options for Identification Stress Contrasts via Pumping History 2023
2 A. Linkov; E. Rejwer-Kosińska; L. Rybarska-Rusinek Evaluation of Rockburst Hazard by Accelerated Numerical Modeling of Stressed State and Induced Seismicity 2022
3 A. Linkov; E. Rejwer-Kosińska; L. Rybarska-Rusinek On accuracy of translations by kernel independent fast multipole methods 2022
4 A. Linkov; E. Rejwer-Kosińska; L. Rybarska-Rusinek On evaluation of local fields by fast multipole method employing smooth equivalent/check surfaces 2021
5 A. Linkov; E. Rejwer; L. Rybarska-Rusinek On speeding up nano- and micromechanical calculations for irregular systems with long-range potentials 2020
6 L. Rybarska-Rusinek On evaluation of influence coefficients for edge and intermediate boundary elements in 3D problems involving strong field concentrations 2019
7 L. Rybarska-Rusinek Opracowanie metod i procedur numerycznych do modelowania obszarów o silnej koncentracji pól fizycznych 2019