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Erasmus ECTS Information Package

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<strong>Erasmus</strong> <strong>ECTS</strong> <strong>Information</strong> <strong>Package</strong><br />

Faculty of EEEA<br />

3035 Mathematics 3<br />

<strong>ECTS</strong> credits: 5<br />

Weekly classes: 2lec+1sem+0labs+1ps+1ca<br />

Assessment: exam<br />

Type of exam: written and oral<br />

Department involved:<br />

Department of Numerical Methods and Statistics<br />

Faculty of Natural Science and Education<br />

Lecturers:<br />

Prof. Luben Georgiev Vulkov, MSc, PhD, Dept. of Numerical Methods and Statistics,<br />

tel.: 888 466, 888 725, Е-mail: lvalkov@uni-ruse.bg<br />

Principal Assistant Nikolinka Stoianova Strateva, MSc, Dept. of Numerical Methods and Statistics,<br />

tel.: 888 466, 888 725, Е-mail: nstrateva@uni-ruse.bg<br />

Abstract:<br />

The objective of the Mathematics III course is to equip students with knowledge and skills to solve engineering<br />

problems requiring: Fourier series; the most common numerical methods of linear algebra and mathematical<br />

analysis; Mathematical apparatus of the probability theory; methods of mathematical statistics for processing<br />

experimental data.<br />

Course content:<br />

Fourier series. Numerical methods for solving systems of linear equations, non-linear equations, systems of nonlinear<br />

equations, least squares method for approximation of tabulated data. Elements of theory of probability,<br />

elements of mathematical statistics, element of regression and correlation analysis, main concepts of experiment<br />

planning.<br />

Teaching and assessment:<br />

The lecturers present the material theoretically and illustrate it with appropriate example problems. At the seminars<br />

the assimilation of material is checked. At the workshops application examples are solved with the aid of the<br />

programming environment MATLAB and namely: Fourier series, numerical method of algebra and analysis,<br />

mathematical statistics. Two tests, 2 hours each, are conducted during the semester. The final mark is based on<br />

written and oral exams, taking into consideration the results of the tests.<br />

3062 Synthesis and Analysis of Algorithms<br />

<strong>ECTS</strong> credits: 7<br />

Weekly classes: 2lec+0sem+0labs+3ps+2cw<br />

Assessment: exam<br />

Type of exam: written and oral<br />

Department involved: Department of Computing<br />

Faculty of Electrical Engineering, Electronics and Automation<br />

Lecturers:<br />

Assoc. Prof. Tsvetozar Stefanov Georgiev, PhD, Dept. of Computing, tel: 888827,<br />

E-mail: TGeorgiev@ecs.uni-ruse.bg<br />

Principal Assistant Emilia Georgieva Golemanova, MEng, Dept. of Computing, tel: 888681,<br />

E-mail: EGolemanova@ecs.uni-ruse.bg<br />

Principal Assistant Elena Diankova Yakimova, MEng, Dept. of Computing, tel.: 888276,<br />

E-mail: ESimeonova@ecs.uni-ruse.bg<br />

Abstract:<br />

The aim of the subject is to provide students with fundamental knowledge about the theory of algorithms. The<br />

students will learn the main algorithms for dynamic data structures processing. The students will be familiarized<br />

with the notations as recursion, iteration and asymptotic analysis.<br />

Course content:<br />

Iteration and recursion. Dynamic memory, pointers, dynamic variables Main data structures – lists, queues, stack,<br />

deques, trees and graphs. Algorithms for linear and non-linear data structures processing. Sorting and searching<br />

algorithms. Hashing and hash-tables. Asymptotic analysis of algorithms.<br />

Teaching and assessment:<br />

The lectures give the necessary theoretical information about synthesis and analysis of algorithms. The students<br />

have specific algorithms to implement on each workshop. The assessment is provided as written and oral exam.<br />

The written exam includes theoretical and practical parts. In the first week the course work topics are given out.<br />

Each student develops independently one problem and prepares a written report for the work done. The final mark<br />

is formed of two marks: mark during workshops and course work (weight 40%) and mark from the final exam<br />

(weight 60%).<br />

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