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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
ECTS 4

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

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

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 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.

Authors Title Year Publisher Language
Ford, W. Numerical Linear Algebra with Applications 2014 Elsevier English
Michael Heath Scientific Computing An Introductory Survey 1997 McGraw-Hill English
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

Prof. Aleksandar Kovačević

Full Professor

Lectures

Assistant - Master Branislav Anđelić

Assistant - Master

Computational classes

Assistant - Master Eva Janković

Assistant - Master

Computational classes

Assistant - Master Miloš Popović

Assistant - Master

Computational classes

Assistant - Master Aleksandar Vujinović

Assistant - Master

Computational classes

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Assistant - Master Marija Kaplar

Assistant - Master

Computational classes

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Assistant - Master Marko Njegomir

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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(+381) 21 6350 413

Fax : (+381) 21 458 133
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© 2024. Faculty of Technical Sciences.