Abstract
The paper describes a methodology for the design of digital mathematical courses for engineers in the digital learnig system Nomotex (DLS “NOMOTEX”) [1], developed at the Department of Computational Mathematics and Mathematical Physics, Bauman Moscow State Technical University, based on the usage of the Knowledge Base created in the DLS “NOMOTEX”. The technique allows one to create mathematical courses of varying complexity and resulting level of knowledge, depending on the direction of training (specialty).
Highlights
1 Introduction For different areas of training and specialties, different mathematical courses with variable depth of content are required, which correspond to the competencies of university graduates. [2, 3, 4, 5, 6] The need for designing personalized courses occurs during training on individual trajectories. [7, 8, 9, 10, 11, 12]
The first level of the structure is the direction of science (Physics and Mathematics, Chemical Sciences, Biological Sciences, etc.), the second is Sciences, the third is the section of science, the fourth disciplines
An important feature of the ability to design courses is that courses can be composite, i.e. contain within itself several disciplines from the Knowledge Base
Summary
For different areas of training and specialties, different mathematical courses with variable depth of content are required, which correspond to the competencies of university graduates. [2, 3, 4, 5, 6] The need for designing personalized courses occurs during training on individual trajectories. [7, 8, 9, 10, 11, 12]
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