Erasmus ECTS Information Package

Erasmus ECTS Information Package
Faculty of EEEA
3148 Semiconductors
ECTS credits: 6 Weekly classes: 3lec + 0sem+ 2labs+ 0ps+ 0,5p
Assessment: exam
Type of exam: written and oral
Departments involved:
Department of Telecommunications
Faculty of Electrical Engineering, Electronics and Automation
Lecturers:
1. Assoc. Prof. Krasimira Stefanova Shtereva, MEng, PhD, Dept. of Elektonics,
tel.: 082 888 366, E-mail: kshtereva@ecs.uni-ruse.bg
Abstract:
The course objective is to familiarize the students with the main active semi-conducting elements used in all
electronic and computing devices and tools for communication and automation. The physical principles are
studied as well as the structure, characteristics, and parameters of discrete elements – diodes, transistors,
thyristors, opto-electronic elements, etc. Specific applications of elements, ways of connection, and methods
of operation mode computation are addressed. Brief information about the technology of manufacturing of
discrete elements and integrated circuits is given.
Course content:
Physical fundamentals of semi-conductors: conductivity, non-equilibrium state, contact metal-semiconductor;
p-n transition. Semiconductor diodes: volt-ampere characteristics of idealised and real diode; rupture in
diodes; operation in impulse mode. Operation principle of transistors, main connection circuits, modes of
operation and static volt-ampere characteristics; parameters of transistor as a quadripole; frequency
properties of transistors; dynamic mode of operation; transistor operation in switch mode. Field transistors:
with control р-n transition; MOS- transistors. Thyristors. Optoelectronic elements. Fundamentals of
microelectronics: types of integrated circuits; main principles of construction of bi-polar and МOS - integrated
circuits.
Teaching and assessment:
The lectures are two hours and alternate from one to two lectures a week. Each lecture is presented using
audio-visual materials. The laboratory exercises are two hours a week. Before the exercise the preparation
of students on the theoretical material and the methods for testing is checked. For each exercise students
prepare a report, which is checked by the lecturer. The results of the assessment during the exercises are
taken into account when forming the final mark at the exam. The final exam takes two hours, it is written and
oral, and consists of 2 questions from the course prospectus.
3149 Data and signal processing
ECTS credits: 6
Weekly classes: 3lec + 0sem + 0labs + 2ps + 1ca
Assessment: exam
Type of exam: written
Departments involved:
Department of Automatics and Mechatronics
Faculty of Electrical Engineering, Electronics and Automation
Lecturers:
1. Assoc. Prof. Rusin Stefanov Tzonev, MEng, PhD, Dept. of Automatics and Mechatronics,
tel.: 082 888 379, E-mail: rtzonev@uni-ruse.bg
2. Assoc. Prof. Donka Ilieva Ivanova, MEng, PhD, Dept. of Automatics and Mechatronics,
tel.:082 888 266, E-mail: divanova@uni-ruse.bg
Abstract:
The subject aims to introduce the students to methods of processing of continuous and discreet signals.
The devices dealing with analogue and digital signal processing are studied. The course introduces
students to the theory of similarity, modeling, processing and generalizing of experimental data. Course
prerequisites include profound knowledge of mathematics. The discipline forms knowledge and skills in
system control.
Course content:
Information and signals. Fourier representation of periodical signals. Spectral analysis of non-periodical
signals – right and conversely Fourier transformation. Discretisation of continuous signals. Kotelnikov –
Shenon’s theorem. Laplas and Z – transformation. Analogue and digital filters. Modulation. Methods of
modeling. Data processing.
Teaching and assessment:
Lecture topics introduce the students to the methods of signals and data processing. The exercises follow
the lecture material. To conduct them students are separated in subgroups. The students have to be
prepared for the exercise and then submit a report on it. Assessment is based on the results of a written
exam.
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