Abstract
In this paper we consider the application of online course “Neural Network modeling of Complex Technical Systems” in the Master’s degree programs in the field of nanotechnology and nanoengineering in Bauman Moscow State Technical University. The course has rather practical than theoretical nature. The aim of this course is skill oriented learning. Nowadays neural network models have become a powerful tool of scientific research for engineers and students. The methods studied during the study of the discipline can be applied to estimation, modeling, classification, clustering, forecasting and more. The neural networks modeling plays a significant role in Master’s education and student’s research work. Neural Networks models are successfully presented in graduation theses. Thanks to online educations students can practice at their own pace and study modern neural networks software products, methods of data preparing, designing and training neural network and then apply these algorithms in practice. According to the steps of neural network modeling algorithm the course consists of three main parts and conclusive one. In this paper course structure and study results are presented.
Highlights
The rapid development of nanotechnology determines the demand for skilled specialists
Homework report is a completed research work and results obtained in the process of neural network modeling are widely used as a part of graduation thesis
When modeling processes associated with the operation of complex equipment, characteristic of technologies implemented in the electronic industry, the use of artificial neural networks in the homework is limited by the insufficient number of experimental results
Summary
The rapid development of nanotechnology determines the demand for skilled specialists. For four semesters students of Master's degree studies under the guidance of scientific supervisors a specific scientific problem such as investigation and development of modern technologies, engineering of technical processes and equipment. Students can, depending on their background and interests, choose the research fields such as processing techniques, specialized equipment and key materials of electronics, nanoelectronics and nanoengineering. In their research, they are engaged in the development of technologies, machines and mechanisms, for example, vacuum technics [4,5], vacuum [6,7] and colloidal [8,9] thin films deposition processes, various lithographic and etching processes, etc. Online education places additional demands on teachers and students, but online courses give students an opportunity to plan a course study mode in accordance with a research plan
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