Translation. Region: Russian Federation –
Source: Official website of the State –
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Participants of the State University of Management's "Spectrum of Innovations" acceleration program visited the Smart engineering center.
At the beginning of this semester, second-year students in the "Logistics and Supply Chain Management" program selected a project from an industrial partner. The client was Dream Auto LLC, a member of the "Union of Automotive Services" partner association. The students' project, tentatively titled "High Tier," aims to develop a business for establishing an electric vehicle service station. Modern digital technologies are used to address the challenges of business organization and customer service.
Collaboration with businesses has significantly expanded students' opportunities. In addition to mastering entrepreneurial skills through specialized training, students have the opportunity to visit industry-specific enterprises during project days, where they gain insight into engineering practices and develop their technical competencies. Last Thursday, students visited an engineering center specializing in the maintenance and repair of electric vehicles.
During the excursion, students learned about the internal workings of electric vehicles, the specifics of battery operation, and their service life and replacement. For example, repairs can take as little as 3-4 hours, but the main shortage is qualified personnel. To become an electric vehicle diagnostician, electricians must undergo advanced training: a one-month basic course; a six-day course on high-voltage architecture.
In essence, GUU students are becoming familiar with cutting-edge engineering developments that will shape business philosophy and the face of industry. Electric mobility isn't just a change in engine type; it's a new industry and new professions. The future is already here, and it demands new knowledge and competencies.
Subscribe to the "Our GUU" Telegram channel. Publication date: October 22, 2025.
Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.
