# OS2NUM - Numerical Mathematics

Course specification
Course title Numerical Mathematics
Acronym OS2NUM
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 3.0 Status elective
Condition Prerequisite: Mathematics 1 (OO1MM1), Mathematics 2 (OO1MM2) Exclusions: Numerical analysis and discrete mathematics (OS2NAD)
The goal Introducing students to principles of numerical mathematics, concept of error, numerical methods that are applicable in vocational topics in studies of electrical engineering. Introducing students to ways of choosing appropriate methods depending on nature of problem.
The outcome Students are able to apply algorithms of numerical mathematics in vocational topics in studies of electrical engineering, to choose appropriate methods for depending on nature of problem that they are solving and to handle error.
Contents
Contents of lectures Notion and types of error. Iterative processes. Theory of interpolation and approximation of functions. Numerical differentiation and integration. Numerical methods in linear algebra (solving linear equations, determination of inverse matrix). Numerical methods for solving nonlinear equations. Runge-Kutta method for solving differential equations. Application of mathematical software.
Contents of exercises Through examples, tasks and problems student learns how to apply theorems and basic concepts that are learnt through theoretical contents. Especially students are prepared how to solve problems that are occurring in vocational electrotechnical subjects.
Literature
1. Sinisa N. Jesic: Script in numerical analysis, Belgrade, 2007
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
1 1 0.5
Methods of teaching Combination of traditional presentation on blackboard, slides, communication with students through internet and individual work with students while working on home work tasks, and explanation of current topics.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 50
Practical lessons 30 Oral examination 20
Projects 0
Colloquia 0
Seminars 0