Erasmus ECTS Information Package
Erasmus ECTS Information Package
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 />
3177 Process Control System Design<br />
<strong>ECTS</strong> credits: 6<br />
Weekly classes: 3lec + 2sem + 0labs + 0ps<br />
Assessment: exam<br />
Type of exam: written<br />
Departments involved:<br />
Department of Automatics and Mechatronics<br />
Faculty of Electrical Engineering, Electronics and Automation<br />
Lecturers:<br />
1. Prof. Mirolyub Ivanov Mladenov, MEng, PhD, Dept. of Automatics and Mechatronics, tel.: 082 888 747,<br />
E-mail: mladenov@uni-ruse.bg<br />
Abstract:<br />
The course objective is to give the students working knowledge in the main stages and activities, concerning<br />
the process control systems design. Different problems connected with the choice of the system structure,<br />
the control algorithm and adjustment of the automatic control systems are taken into consideration, as well<br />
as the choice of components for system implementation. The students study the standards, concerning<br />
process control system design.<br />
Course content:<br />
Main stages in the process control system design. Selection of the system structure and control algorithm.<br />
Adjustment of automatic control systems. Selection of the components for system implementation. Basic<br />
standards, concerning the process control system design.<br />
Teaching and assessment:<br />
The lectures present the main theoretic aspects of the automatic control systems design. At the seminars<br />
students acquire skills to solve problems, concerning systems design. The final mark is formed on the basis<br />
of the continuous assessment and a written exam.<br />
3178 Pattern Recognition<br />
<strong>ECTS</strong> credits: 4<br />
Weekly classes: 2lec + 0sem + labs + 2ps<br />
Assessment: continuous assessment<br />
Type of exam: written<br />
Departments involved:<br />
Department of Automatics and Mechatronics<br />
Faculty of Electrical Engineering, Electronics and Automation<br />
Lecturers:<br />
1. Prof. Mirolyub Ivanov Mladenov, MEng, PhD, Dept. of Automatics and Mechatronics, tel.: 082 888 747,<br />
E-mail: mladenov@uni-ruse.bg<br />
Abstract:<br />
The course aims to give the students working knowledge of the basic principles and methods for pattern<br />
recognition, as well as typical applications of pattern recognition systems. Different methods for pattern<br />
recognition, based on discriminant functions, structural-linguistic analysis, cluster analysis, neural networks<br />
and genetic algorithms are considered.<br />
Course content:<br />
Introduction into pattern recognition theory. Principles and methods for recognition. Discriminant functions,<br />
linear discriminant functions, generalised discriminant functions. Object classification using distance<br />
functions. Object classification using clusters. Object classification using likehood functions. Bayesian<br />
classification. Structural-linguistic methods for recognition. Formal languages and grammars. Structural<br />
description and recognition. Modern instruments in pattern recognition systems: artificial neural networks,<br />
decision trees, genetic algorithms, Fuzzy logic.<br />
Teaching and assessment:<br />
The lectures present the main theoretic material through the use of a multimedia system and illustrate it with<br />
appropriate example problems. Lecture materials are given out in advance to the students on CD. The<br />
practice sessions are held in a computer laboratory where the students use specialized software systems.<br />
They are provided with appropriate teaching materials. The final mark is formed on the basis of two written<br />
exams during the semester and on the basis of the results from the practice sessions.<br />
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