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Monographic lecture I - Basics of mathematical modelling

Some basic information about the module

Cycle of education: 2018/2019

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 Computer Science, Applications of Mathematics in Economics

The degree after graduating from university:

The name of the module department : Departament of Mathematical Modelling

The code of the module: 1495

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 / W30 / 2 ECTS / Z

The language of the lecture: Polish

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

office hours of the coordinator: Pon. 17.15-18.45, Wt. 14.30-16.00, TEAMS

The aim of studying and bibliography

The main aim of study: Introduction to the basics of mathematical modeling and selected sections of numerical methods.

The general information about the module: The subject matter of the classes chosen by students. In the second semester, 30 hours of lectures are realized.

Teaching materials: podane na stronie https://wojciechjablonski.v.prz.edu.pl/

Bibliography required to complete the module
Bibliography used during lectures
1 A. Witecek, L.Cedro, R. Farana Modelowanie matematyczne. Podstawy. Pol. Swiętokrzyska, Kielce, . 2010
2 M.Holodniok, M.Kubiczek Metody analizy nelinearnich dynamickich modelu Academia, Praha. 1986
3 U. Foryś Modelowanie matematyczne w biologii i medycynie Uniwersytet Warszawski. 2011
4 S.J.Farlow Partial differential equations for Scientists and Engineers Wiley, Inc.. 1982
5 Lawrence C. Evans Równania różniczkowe cząstkowe PWN Warszawa. 2002
6 P. Strzelecki Krótkie wprowadzenie do równań różniczkowych cząstkowych. PWN Warszawa. 2006
7 A. Turowicz Teoria macierzy Uczel. Wyd. Nauk.-Dydakt. Kraków. 2005
Bibliography to self-study
1 H. Guściowa, M. Sadowska Repetytorium z algebry liniowej PWN Warszawa 1977.
2 J. Klukowski, I. Nabiałek Algebra dla studentów PWN Warszawa. 1999
3 A. I. Kostrykin Zbiór zadań z algebry PWN Warszawa. 1995
4 I. Nabiałek Zadania z algebry liniowej WNT Warszawa. 2006
5 J. Rutkowski Algebra liniowa w zadaniach PWN Warszawa. 2012

Basic requirements in category knowledge/skills/social competences

Formal requirements:

Basic requirements in category knowledge: Mastering the basics of mathematical analysis, matrix calculus, differential equations and computational packages.

Basic requirements in category skills: Passing courses in mathematical analysis 1,2, linear algebra, differential equations, and computational packages.

Basic requirements in category social competences: ability to acquire knowledge, ability to work in a group

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 OEK
01 The student has knowledge concerning algebraic structures (group, ring, field, linear space, algebra) and can apply it in problems and exercises. lecture written test K_W01+
K_W02++
K_W03++
K_W04++
K_U01++
K_K02+
K_K04+
K_K07+
X2A_W01
X2A_W03
X2A_W06
X2A_U01
X2A_U02
X2A_U05
X2A_K01
X2A_K02
X2A_K03
X2A_K04
X2A_K06
02 The Student is familiar with advanced concepts and tools of linear algebra (algebra of operators, dual space, invariant subspace and eigenvector, Jordan canonical form) and can apply it in problems and exercises. lecture written test K_W01+
K_W02+
K_W03+
K_W04++
K_W05++
K_W07++
K_U01+
K_U02++
K_U03+
K_K01+
X2A_W01
X2A_W02
X2A_W03
X2A_W06
X2A_U01
X2A_U02
X2A_U03
X2A_U05
X2A_U07
X2A_K01

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 Introduction: mathematical modeling - the art of applying mathematics. Principles and main features of modeling. Computer experiment - stages, features and functions. Technical support and software in a computational experiment. W01-W03 MEK01
2 TK02 Mathematical models that are reduced to algebraic equations. Static issues. Mathematical equilibrium models. Issues of approximation and optimization. Methods of solving systems of linear and nonlinear equations. W04-W07 MEK02
2 TK03 Mathematical models that are reduced to systems of ordinary differential equations. Mathematical models of the dynamics of a material point. Free and forced vibrations. Nonlinear oscillatory systems. Analysis methods and solutions of initial-boundary problems for ordinary differential equations. W7-W10 MEK02
2 TK04 Mathematical models that are reduced to partial differential equations. Classification of partial differential equations and appropriate basic mathematical models. Systems of partial non-linear equations. W11-W15 MEK01 MEK02

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 2) contact hours: 30.00 hours/sem.
complementing/reading through notes: 5.00 hours/sem.
Studying the recommended bibliography: 10.00 hours/sem.
Advice (sem. 2) The preparation for Advice: 1.00 hours/sem.
The participation in Advice: 2.00 hours/sem.
Credit (sem. 2) The preparation for a Credit: 10.00 hours/sem.
The written 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
Lecture the execution of problems proposed after lectures and the positive evaluation of written test
The final grade The final grade is based on the sum of points scored for solved during the semester problems, exercises and a written test.

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: no