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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 />

3181 Quality Control<br />

<strong>ECTS</strong> credits: 4<br />

Weekly classes: 3lec + 0sem + 0labs + 3ps<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. Assoc. Prof. Rusin Stefanov Tzonev, MEng, PhD, Dept. of Automatics and Mechatronics,<br />

tel.: 082 888 379, E-mail: rtzonev@uni-ruse.bg<br />

Abstract:<br />

Topics discussed are key elements, such as controlled object, base instruments for quality improvement<br />

and control, methods of standardization, certification of the measuring processes, analysis and<br />

improvements under the ISO 9000 certificate. Also commented are the uses of expert opinions during<br />

quality control, and development of concrete technical equipment for quality assessment. Key requirement<br />

for the course is knowledge of Mathematics, Control theory, Data and signal processing, System<br />

identification, and the course itself is a prerequisite for other courses and the diploma project.<br />

Course content:<br />

Quality as a tool for managing. Instruments for quality improvement. Quality control. Reliability of the end<br />

product as a measurement of quality. Systems for quality assurance. Applying expert opinions in the quality<br />

control. Examples of technical equipment for quality assessment.<br />

3182 Digital Signal and Data Processing<br />

<strong>ECTS</strong> credits: 4<br />

Weekly classes: 3lec + 0sem + 0labs + 3ps<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. Assoc. Prof. Valentin Bogdanov Stojanov, MEng, PhD, Dept. of Automatics and Mechatronics,<br />

tel.: 082 888 372, E-mail: vstojanov@uni-ruse.bg<br />

2. Assoc. Prof. Donka Ilieva Ivanova, MEng, PhD, Dept. of Automatics and Mechatronics,<br />

tel.: 082 888 266, E-mail: divanova@uni-ruse.bg<br />

Abstract:<br />

The course objective is to introduce the students to the current methods for one-dimensional digital signal<br />

processing. It introduces knowledge of the mathematical methods for digital signal processing, design of<br />

finite and infinite impulse response filters, spectral transference, decimation and interpolation of digital<br />

signals. The discipline forms knowledge and skills which are applied in image identification, analysis of<br />

biosignals, etc.<br />

Course content:<br />

Introduction to digital signal processing. Digital representation of signals. Representation of discrete signals<br />

in the frequency domain. Definition of the Fourier transform of discrete signals. Fast Fourier transform.<br />

Design of the finite and infinite impulse response filters. Spectral transference. Decimation and interpolation<br />

of digital signals. Application of the digital signal processing.<br />

Teaching and assessment:<br />

The subjects of the lectures introduce the students to the methods of digital signal and data processing.<br />

The exercises follow the lecture material. They are conducted after students are separated in subgroups.<br />

The students have to be ready for the exercise and they prepare a report on it. Assessment in this subject is<br />

based on the results of a written exam.<br />

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