Mathematical Modelling
BASIC DATA
course listing
A - main register
course code
ITS8010
course title in Estonian
Matemaatiline modelleerimine
course title in English
Mathematical Modelling
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
autumn - spring
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
IAPM02/25
no
Structural units teaching the course
IT - Department of Software Science
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Aine Eesmärgiks on õpetada kuidas matemaatilised formalismid rakendatakse ja implementeeritakse modelleerimis probleemide lahendamiseks
course aims in English
Main goal of the course is to explain application and implementation of the mathematical formalisms in solving modelling problems
learning outcomes in the course in Est.
Aine läbinud tudeng:
1. Tunneb numbriliste meetodite teoreetilisi aluseid.
2. Oskab kasutada numbrilisi meetodeid (interpoleerimine, integreerimine, võrrandite ja võrrand süsteemide lahendamine).
3. Oskab modelleerida dünaamilisi süsteeme.
4. Oskab modelleerida ja sünteesida hübriidseid süsteeme.
learning outcomes in the course in Eng.
* Upon completion a student:
1. Possesses knowledge of the main methods of Numeric Analysis
2. Knows how to apply method of numeric analysis for interpolation, integration. Knows how to solve numerically equations and systems.
3. Knows how to model simple dynamic systems.
4. Knows how to model and synthesize systems with hybrid dynamics
brief description of the course in Estonian
Sissejuhatuseks vaadeldakse maatrikseid ja polünoome, arutletakse nende omaduste, rolli üle matemaatilises modelleerimises ja seoste üle geomeetriliste teisendustega. Aine esimene osa on pühendatud numbrilise analüüsi meetoditele (interpoleerimine, integreerimine, võrrandite ja võrrandsüsteemide lahendamine (k.a. diferentsiaal võrrandite)). Harjutuste jooksul rakendatakse saadud teoreetilised teadmised praktiliste probleemide lahendamiseks, MATLABi abil. Tähelepanu pööratakse saadud tulemuste visualiseerimisele ja interpreteerimisele. Aine teine osa on pühendatud dünaamiliste- ja hübriidsüsteemide modelleerimisele ja sünteesile diferentsiaal- ja diferents- võrrandite abil. Siin võetakse kasutusele MATLABi võimsamad vahendid Simulink ja Stateflow paketid. Nende abil uuritakse dünaamiliste- ja hübriidsüsteemide võimeid protsesside modelleerimisel.
brief description of the course in English
As an introduction we consider matrixes and polynomials, discuss their properties and roll in mathematical modelling. As a simple example we consider transformation of a simple geometric invariants. First part of the course is devote to the applications of numeric analysis. Interpolation, numeric integration, iterative methods of solving equations and systems of equations (including differential equations). Practices will took place in the computer class where using MATLAB environment students will learn how to apply theoretical methods to solve practical problems. Special attention will be devoted to the visualization and interpretation of the achieved results.
One of the main applications of differential and difference equations is in modelling and synthesis of dynamic systems, which constitute second part of the course. During the second part of the course most powerful toolboxes of MATLAB environment Simulink and state flow will be used to study modeling and synthesis of dynamic and hybrid systems
type of assessment in Estonian
...
type of assessment in English
-
independent study in Estonian
-
independent study in English
-
study literature
....
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
0.0
practices
-
exercises
2.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2025/2026 autumn
Sven Nõmm, IT - Department of Software Science
English
    display more
    2020/2021 autumn
    Sven Nõmm, IT - Department of Software Science
    English
      ITS8010Grading criterias.pdf 
      2019/2020 autumn
      Sven Nõmm, IT - Department of Software Science
      English
        ITS8010Grading criterias.pdf 
        Course description in Estonian
        Course description in English