Evaluating the Quality of Student Web Design Projects

Иван Шотлеков, Асен Рахнев - В настоящата работа се представя набор от критерии за оценяване на качеството на студентски проекти за уеб дизайн. Критериите са подходящи за разработване, самооценяване, колегиално оценяване и оценка на уеб сайтове, проектирани от студенти. Тази оценъчна скала е апробирана по време на курс “Английски език в информационните технологии”, проведен със студенти от първи курс по информатика във Факултета по математика и информатика на Пловдивски университет “Паисий Хилендарски”. Тя помага на студентите при разработването на мултидисциплинарен проект за уеб дизайн да придобият не само технически умения, свързани с проектирането на качествени уеб сайтове, но и някои процесуални умения, които ще им бъдат необходими в реалната практика.

Application of Statistical Experimental Design in Food Sciences

The development of new, health supporting food of high quality and the optimization of food technological processes today require the application of statistical methods of experimental design. The principles and steps of statistical planning and evaluation of experiments will be explained. By example of the development of a gluten-free rusk (zwieback), which is enriched by roughage compounds the application of a simplex-centroid mixture design will be shown. The results will be illustrated by different graphics.

The Experience Software-based Design of Virtual Medical Intrascopy Systems for Simulation Study

The questions of software-based design of “virtual” technical systems are considered as facility of imitation experiment for educational purposes. These virtual systems are usable for analysis of medical intrascopy systems functioning. The virtual educational technical systems allow guarantee the goodness technical training of bioengineers.

Application of Artificial Intelligence Methods to Computer Design of Inorganic Compounds

In this paper the main problems for computer design of materials, which would have predefined properties, with the use of artificial intelligence methods are presented. The DB on inorganic compound properties and the system of DBs on materials for electronics with completely assessed information: phase diagram DB of material systems with semiconducting phases and DB on acousto-optical, electro-optical, and nonlinear optical properties are considered. These DBs are a source of information for data analysis. Using the DBs and artificial intelligence methods we have predicted thousands of new compounds in ternary, quaternary and more complicated chemical systems and estimated some of their properties (crystal structure type, melting point, homogeneity region etc.). The comparison of our predictions with experimental data, obtained later, showed that the average reliability of predicted inorganic compounds exceeds 80%. The perspectives of computational material design with the use of artificial intelligence methods are considered.