MODEL AND ALGORITHM THAT OPTIMIZE THE CHOICE OF A TRAINING AREA AT A MULTI-PURPOSE TRAINING

The article deals with the problem of how to optimize the distribution of students according to the areas of training in the groups of multi-purpose training. Training and retraining of professionals in fact presupposes facilitating the optimal individual educational trajectory for each specialist. There is a need to form groups of multi-purpose training since, on the one hand, certain training areas are unique and there is a lack of the pertinent categories of students, and on the other hand, related areas require similar training trajectories. It will contribute to saving resources of an educational institution and sometimes can increase the training efficacy. The training trajectories in such groups can overlap, which makes it possible to dynamically redirect students to subgroups that master different competences. When organizing a multi-purpose training the primary task is to choose the training area for each specialist, and the corresponding mathematical apparatus to optimize this task has not been studied sufficiently. This research carries out a mathematical approach to this problem. The article defines two stages of its sollution: 1) assesing the perspectives of students to form competencies in accordance with the training areas; 2) finding an optimal way to distribute the trainees in the areas of training. The paper suggests an algorithm for solving the problem.

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