21.10.2014 Views

Erasmus ECTS Information Package

Erasmus ECTS Information Package

Erasmus ECTS Information Package

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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

Faculty of EEEA<br />

0235 Applied Electronics in Agriculture<br />

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

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

Assessment: exam<br />

Type of exam: written and oral<br />

Departments involved:<br />

Department of Electronics<br />

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

Lecturers:<br />

Assoc. Prof. Ivan Borisov Evstatiev, MEng, PhD, Dept. of Electronics, tel.: 888 772;<br />

Senior Assistant Yavor Branimirov Neikov, MEng, Dept. of Electronics, tel.: 888 772;<br />

Е-mail: yneikov@ecs.uni-ruse.bg<br />

Abstract:<br />

The compulsory course aims to acquaint students with the application of electronic circuits and printed circuit<br />

boards used in devices for control of a variety of technological processes in agriculture.<br />

Course content:<br />

Management systems in current farm industry – ecology, cost price, energy efficiency. Technological processes in<br />

agriculture and farming, in treatment and storage of definite produce. Methods and devices for data acquisition,<br />

processing of informational parameters and carrying out control signals in field and livestock farming, treatment<br />

and storage of the produce. Requirements on electronic circuits applicable in branches of farm industry. Applied<br />

electronic circuits in agricultural and livestock production. Applied electronic circuits in melioration, soil-cultivation<br />

machinery, automotive and tractor-driven farm equipment. Current scientific methods for settling problems in the<br />

automation of farm processes.<br />

Teaching and assessment:<br />

The lectures focus on the features of special processes in the field of farm industry and application of electronic<br />

circuits for their control. The practical exercises cover the research of particular schematic circuits with real<br />

technological parameters.<br />

0236 Theory of Experiment<br />

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

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

Assessment: continious assesssment<br />

Type of exam: written<br />

Departments involved:<br />

Department of Electronics<br />

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

Lecturers:<br />

Assoc. Prof. Todor Tsanev Todorov, MEng, PhD, Dept. of Numerical Methods and Statistics, tel. 888 556;<br />

Е-mail: ttodorov@uni-ruse.bg<br />

Abstract:<br />

This optional course includes the main methods for experiment planning in the field of engineering, processing and<br />

analysis of results. In this connection the objects are classified according to the number of control factors in three<br />

groups – with no control factors, with one control factor and with more than one control factors.<br />

For the first group the methods of statistical estimation and of checking statistical hypothesis are considered. For<br />

the second and the third group the methods of single- and multi-factor regression and variances analysis are<br />

considered.<br />

Course content:<br />

Cybernetic approach in studying objects experimentally. The role of experiment in research. Types of<br />

experiments. Studying objects with no external influence. Studying single-factor objects. Single-factor regression<br />

analysis. Single-factor variances analysis. Studying multi-factor objects. Multi-factor regression analysis. Multifactor<br />

variances analysis. Planning regression experiments. First degree plans. Second degree plans. Data<br />

processing in planned experiments. Planning experiments for variances analysis. Optimizing multi-factor<br />

experiments. Statistical optimization. Software products experimental data processing.<br />

Teaching and assessment:<br />

The lectures are 2 and 4 hours a week. The practice sessions take place in computer labs and the students work<br />

on the above topics under the lecturer’s supervision. The final mark includes a contribution from continuous<br />

assessment and the test from the practice sessions.<br />

226

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!