Infopaket

Neural networks

3.2.1.5

Вибіркова дисципліна для ОП

Second

2023/2024

3 Semester

5

PLO1. Formulate, analyze and synthesize solutions to scientific and practical problems PLO8. Collect, process and analyze statistical data, scientific and analytical materials needed to solve complex economic problems PLO10. Apply modern information technologies and specialized software in socio-economic research and management of socio-economic systems PLO15. Plan and perform scientific and / or applied research, make sound conclusions based on research results, present results, argue your opinion

Full-time form

1. Know: the theory of methods of statistical analysis (disciplines: Statistics, Statistics for economists). 2. Possess: programming methods (disciplines: Fundamentals of programming, programming, Piton and others).

The curriculum consists of one module: Neural networks and their capabilities. Direct propagation neural network, Backpropagation algorithm, Convolutional neural network, recurrent neural networks, Kohonen network, Pseudo-inverse associative neural network, data preparation for neural networks, examples of neural networks for image classification, audio signals, digital signals, natural language.

The purpose of the discipline - is to master the basic methods of working with neural networks. The educational task of the course is to study the basic types and capabilities of neural networks.

Forms of student assessment: - semester assessment of 75 points maximum / 45 points minimum: 1. Participation in laboratory classes (speeches, practical exercises) - 15 points / 9 points 2. 2 tests - 20 points / 12 points 3. Performing independent work - 20 points / 12 points - final assessment in the form of a test

Ukrainian