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In this paper we consider the application of artificial neural networks in the Master’s degree programs. Nowadays neural network models have become a powerful tool of scientific research for engineers and students. Besides successful research depends on confided usage of common methods and algorithms of statistical community special attention in degree programs is given to data analysis and modeling methods. Students study modern neural networks software products, methods of data preparing, designing and training neural network and then apply neural networks algorithms in practice. The neural networks modeling plays a significant role in students education. During it students learn to create, tune and train their own neural networks and get full and detailed understanding of research in computer vision. Neural Networks models are successfully presented in graduation works. In this paper a few examples of how neural networks are used in thin films deposition processes modeling are presented.

Neural Network modeling of Thin Films Deposition Processes in the Master’s Degree Programs “Electronics and Nanoelectronics” and “Nanoengineerig”