Matlab and Numerical Methods
BASIC DATA
course listing
A - main register
course code
YMX0262
course title in Estonian
Matlab ja numbrilised meetodid
course title in English
Matlab and Numerical Methods
course volume CP
-
ECTS credits
3.00
to be declared
yes
assessment form
Pass/fail assessment
teaching semester
autumn - spring
language of instruction
Estonian
English
Study programmes that contain the course
Structural units teaching the course
ET - Tartu College
LT - Department of Cybernetics
Timetable link
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Omandada teadmisi ja oskusi matemaatikatarkvara Matlab ja numbriliste meetodite kasutamise kohta erialaste ülesannete lahendamisel, harjutada probleemipõhist lähenemist.
course aims in English
To acquire knowledge and skills to apply Matlab and numerical methods to solve problems occurring in speciality, to train problem-based approach.
learning outcomes in the course in Est.
Aine läbinud üliõpilane:
- tunneb põhiliste numbriliste meetodite tööpõhimõtteid;
- tunneb pakettide Matlab ja GNU Octave põhioperatsioone ja graafikat ning oskab koostada skripte;
- omab kogemusi erialaste ülesannete probleemipõhisel käsitlemisel.
- tunneb põhiliste numbriliste meetodite tööpõhimõtteid;
- tunneb pakettide Matlab ja GNU Octave põhioperatsioone ja graafikat ning oskab koostada skripte;
- omab kogemusi erialaste ülesannete probleemipõhisel käsitlemisel.
learning outcomes in the course in Eng.
Student having passed the course:
- knows principles of work of most important numerical methods;
- knows main operations of packages Matlab, GNU Octave, graphics and is able to compose scripts;
- has an experience in problem-based treatment of problems occurring in a speciality.
- knows principles of work of most important numerical methods;
- knows main operations of packages Matlab, GNU Octave, graphics and is able to compose scripts;
- has an experience in problem-based treatment of problems occurring in a speciality.
brief description of the course in Estonian
(Annotatsioon läbitavatest teemadest)
Matlabi ja GNU Octave põhioperatsioonid, graafika ja skriptid. Matemaatilisel modelleerimisel kasutatavate numbriliste meetodite tööpõhimõtted. Erialaste ülesannete lahendamine. Probleemõpe
Matlabi ja GNU Octave põhioperatsioonid, graafika ja skriptid. Matemaatilisel modelleerimisel kasutatavate numbriliste meetodite tööpõhimõtted. Erialaste ülesannete lahendamine. Probleemõpe
brief description of the course in English
Main operations of Matlab and GNU Octave, graphics and scripts. Principles of work of numerical methods used in mathematical modelling. Solving problems occurring in a speciality. Problem- based learning.
type of assessment in Estonian
Kursuse jooksul on üks kontrolltöö numbriliste meetodite ja Matlab- GNU Octave kohta, mis tuleb tudengil iseseisvalt sooritada. Lisaks sellele toimub rühmatöö, milles lahendatakse erialast ülesannet. Arvestus pannakse välja mainitud kahe töö tulemuste põhjal.
type of assessment in English
During the course a student has to pass a test concerning numerical methods and Matlab – GNU Octave. In addition, a group work will take place, where a problem of a speciality is solved. The assessment will be done on the basis of these two works.
independent study in Estonian
Iseseisev töö seisneb kursuses läbivõetavate meetodite ja tarkvaraga tutvumises. Töö maht statsionaarses õppes – 32 tundi, kaugõppes – 43 tundi
independent study in English
The self-dependent work consists in independent learning the methods and software of the course. Learning capacities of the subject in the stationary learning is 32 hours and in the extramural learning 43 hours.
study literature
Kohustuslik:
- õppejõu konspekt.
- õppejõu konspekt.
study forms and load
daytime study: weekly hours
2.0
session-based study work load (in a semester):
lectures
0.5
lectures
2.0
practices
0.0
practices
0.0
exercises
1.5
exercises
6.0
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2025/2026 spring