PROBLEMS OF ANALYST COMPETENCY FORMATIONFOR MODERN TRANSPORT SYSTEMS
| Autor: | Svetlana LYAPINA, Valentina TАRASOVA, Marina FEDOTOVA |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Transport Problems, Vol 15, Iss 2, Pp 71-82 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1896-0596 2300-861X |
| DOI: | 10.21307/tp-2020-021 |
| Popis: | Intelligentinformation and analytical basis of a modern transport system is a prerequisite for efficient functioning of the digital economy. Modern transport systems are based on new intelligenttechnologies and new organizational principles, whichis why the functions and competences of specialists in transportation are changing very rapidly. Thispapersubstantiates the need and reveals the content of new competencies of specialists for modern transport systems, which should be ready to take into account manydifferent factors, process large amounts of informationandsolve multi-criteria tasks in transport companies for all management functions.Creation of digital analytical competency for transportation systems representsa new direction of the educational and training programs that must include courses in modern assessment and forecasting methods, big data operation, machine learning, neuron networks and other approaches in artificial intelligence area. Thisarticle describes a new approach to the teaching of transportation system analysts thatisable to solve various types of tasks to implement Industry 4.0 elements in transportation asexamples. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|