This paper discusses the problem of integrating modern methods of forecasting and modeling complex technical objects into the learning process. As an example, the problem of solving a system of ordinary differential equations is considered, which has significant practical application. In particular, solving a system of differential equations can be an essential part of patents. The neural network method to solve this problem by using Matlab simulation software and visual modeling tool Simulink is considered. Efficient cloud-based solution to ordinary differential equations is presented.
The paper discusses the effectiveness of crowdfunding institution. Crowdfunding is the result of evolutionary institutional changes in the global venture capital market. The crowdfunding institution has lower transaction costs and allocates risks more evenly in comparison with the institutions of business angel and venture fund. Regression models of the effectiveness of global fundraising campaigns with the help of three types of institutions were designed. Comparison of models makes it possible to conclude that crowdfunding as an effective mechanism for organizing venture transactions, which significantly expands the audience of investors and projects that attract investments in the early stages.
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