THE PHILOSOPHY AND DRIVING FORCES IN THE DEVELOPMENT OF MEASUREMENT SCIENCE - SOME VIEWS UPON THE PROBLEMS

Ivan Kalchev

doi:10.47839/ijc.1.2.108

Abstract

A necessary background for clear outlined existing of each science in the so fast changing world is its permanent development in theoretical and applied aspect for solving today’s problems and visions in the future. In this respect for the modern sciences, more important role play theories, that not only generalize and explain the known facts and phenomena, but serve for predicting and achieving new levels of knowledge. In this paper the methods of teaching in the discipline Distributed Measurement Systems and in particular, the laboratory exercises carrying out by the students of Faculty of Automation and English Language Department of Engineering in Technical University of Sofia are presented.

Highlights

These are activities such as measuring, examining, DEVELOPMENT OF MEASUREMENT testing, gauging one or more characteristics of a SCIENCE product or service and comparing these with speci
Modelbased measurement consists of interro gating the system under observation by exciting it and estimating the quantities under observation as parameters of a model of the system
Pareto diagram is a tech Many authors consider the need to develop the nique supporting the quality improvement process technology of measurement and instrumentation into for ordering causes or problems from the most to an university discipline which can be effectively the least significant. In this way the most signifi taught as the most powerful driving force behind cant aspects are identified and the efforts can be the development of measurement science

Summary

Method

P U T to check the product, and to search for the causes of noncon formance and if there is a variation in the process parameters, it has to be corrected. Pareto diagram is a tech Many authors consider the need to develop the nique supporting the quality improvement process technology of measurement and instrumentation into for ordering causes or problems from the most to an university discipline which can be effectively the least significant. In this way the most signifi taught as the most powerful driving force behind cant aspects are identified and the efforts can be the development of measurement science. Concentrated on those, getting the maximum benefit with the least effort

THE PHILOSOPHY OF THE bar chart method and is used in conjunction with

THE LEARNING STRATEGY FOR THE STUDENT S’ LABORATORY WORK