Model of Improving Practical Skills in Computer Engineering

Abstract

The paper proposes a multi-level approach to teaching network disciplines using network modeling and emulation systems from the standpoint of learning and testing knowledge. The application of the modular principle allows you to create models of maximally adequate networks and obtain more reliable results. The purpose of the study is to establish the connection between the introduction of simulation modeling systems and emulation of network objects into the educational process and improving the quality of knowledge acquisition and obtaining practical skills. The object of the research is the process of building a model of obtaining practical skills on the example of studying network disciplines. The subject is models, methods and software tools for improving the quality of acquiring knowledge and skills in the learning process. The main tasks are the adaptation of the participants of the educational process to the growing flow of knowledge, free orientation in the arrays of knowledge, application of specialized systems to improve practical skills, and the ability to quickly find and use all available resources. Acquiring practical skills in the training of highly qualified specialists in computer engineering is an important direction of using modeling systems, emulation and design in order to increase the effectiveness of training, as well as the application of calculations in modeling the operation of real objects. Other methods of learning, which are based on visualization of the functionality of the object being studied, can guarantee better assimilation of theoretical knowledge and improvement of the level of practical skills when studying technologies of data transmission systems. Implementation methods of modeling the working of objects, using intelligent calculations, understanding physical processes in the environment of transmission and use of artificial intelligence, improve the quality of acquired knowledge related to the design and implementation of data transmission systems for different purposes. The author considered the time distribution regularities for the assimilation of knowledge by the participants of the educational process. It is shown that the acquisition of knowledge and skills is quite well described by the exponential law for small volumes and the gamma distribution for masses of knowledge. The examples show the confirmation of theoretical assumptions by experimental data. The stages of combining the model of the learning process for obtaining knowledge with the process of improving its quality and obtaining practical skills when applying simulation modeling systems are defined.