IR2NAD - Numerical Analysis and Discrete Mathematics

Course specification
Course title		Numerical Analysis and Discrete Mathematics
Acronym		IR2NAD
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Branko Malešević professor PhD Siniša Ješić professor PhD Nataša Ćirović
Lecturer/Associate (for practice)		professor PhD Branko Malešević professor PhD Nataša Ćirović
Lecturer/Associate (for OTC)		professor PhD Branko Malešević professor PhD Nataša Ćirović
ESPB		6.0	Status	mandatory
Condition		Prerequisite: Mathematics 1 (OO1MM1), Mathematics 2 (OO1MM2)
The goal		Introducing students to principles of numerical mathematics and discrete mathematics, ways of choosing appropriate methods depending on nature of problem with application in electrical engineering and computer science.
The outcome		Students are able to apply algorithms of numerical mathematics and methods of discrete mathematics in vocational subjects.
Contents
Contents of lectures		Error. Iterative processes. Theory of interpolation and approximation of functions. Numerical differentiation and integration. Numerical methods for solving linear and nonlinear equations. Application of mathematical software. Discrete mathematics: Introduction to complexity of algorithms. Mathematical logic and applications of resolution principle. Algebra – latices and finite fields.
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
Sinisa Jesic: Script in numerical analysis, Belgrade 2007 D. Cvetkovic, S. Simic: Selected chapters in discrete mathematics, Akademska misao, Belgrade 2005 D. Tosic, M. Jovanovic, B. Malesevic: Exam assignments in Mathematics IV, Akademska misao, Belgrade, 2002.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
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		30	Test paper	50
Practical lessons		0	Oral examination	20
Projects		0
Colloquia		0
Seminars		0