Faculty of Technical Sciences

Subject: Numerical Algorithms and Numerical Software (17.E231)

Native organizations units: Sub-department for Applied Computer Science and Informatics
General information:
 
Category Scientific-professional
Scientific or art field Applied Computer Science and Informatics
Interdisciplinary No
ECTS 4
Educational goal:

Students gain basic knowledge about numerical analysis, methodology of applying numerical models in engineering disciplines, use of selected standard numerical software tools.

Educational outcome:

Understanding basic numerical models and ability to apply them for solving simple engineering tasks using numerical software tools.

Course content:

Mathematical models and numerical models; methodology of solving engineering problems by applying numerical models; areas of application of numerical models in engineering. Basic numerical methods: numerical solutions of a system of linear equations (direct and iterative procedures); numerical solutions of non-linear equations and systems; function approximation (interpolation and best approximation); differentiation and integration (finite differences, Newton–Cotes formulas, Romberg integration); common differential equations – initial condition (single-step and multi-step formulas, predictor-corrector procedures), boundary condition (the shooting method, collocation formulas); Monte-Carlo methods. Numerical software tools: demands and functions, architecture, ways of use, available tools.

Teaching methods:

Teaching methods include lectures, laboratory classes, homework assignments, and consultations. Lectures involve presenting the course materials using the necessary didactic tools while encouraging the students to participate actively. Laboratory classes (exercises) are realized through assignments that can be done independently or with the help of teaching assistants, as well as through homework assignments.

Literature:
Authors Title Year Publisher Language
Michael Heath Scientific Computing An Introductory Survey 1997 McGraw-Hill English
Ford, W. Numerical Linear Algebra with Applications 2014 Elsevier English
Aleksandar Kovačević, Jelena Slivka Numeričke metode u softverskom inženjerstvu 2018 autorski rukopis Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Test Yes Yes 25.00
Written part of the exam - tasks and theory No Yes 45.00
Test Yes Yes 30.00
Lecturers:

Asistent Popović Miloš

Assistant - Master

Computational classes

Asistent Vujinović Aleksandar

Assistant - Master

Computational classes

Asistent Janković Eva

Assistant - Master

Computational classes
API Image

Asistent Njegomir Marko

Assistant - Master

Computational classes

Asistent Anđelić Branislav

Assistant - Master

Computational classes

Saradnik u nastavi Stamenković Aleksandra

Teaching Associate

Computational classes

prof. dr Kovačević Aleksandar

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

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Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.