For citation: Xu Qiao, Mei Shunqi, Zhang Zhiming, Lygdenov Burial. Research on course system construction and teaching methods for textile machinery specialty in artificial intelligence age //
URL: http://rectors.altstu.ru/ru/periodical/archiv/2021/1/articles/3_11.pdf DOI: 10.25712/ASTU.2410-485X.2021.01.026
UDK 621
G642.3
Research on course system construction
and teaching methods for textile machinery specialty in artificial intelligence age
Xu Qiao1, Mei Shunqi1, Zhang Zhiming1, Lygdenov Burial1 1 School of Mechanical Engineering & Automation, Wuhan Textile University, Wuhan, Hubei, 430070, China
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Needs and challenges
Regional economic and socia
1 innovation and developmen
Upgrading. transformation and development of the textile industry
Industry Background
University Characteristic Develoomem
Talent Demand
Applied innovative talents
Talent positioning
Teaching Service University
Disciplinary and professional structure embedded in the industry chain
Faculty team integrated into industry-university cooperation
Innovative practice implanted in industrial chain links
knowledge
Disciplinary foundation
Industrial commonality
Professional technology
Ability
Ability to do things
Ability to work together
Ability to do business
f
Character
Honesty and sunshine
Tolerance and openness
Pursuit of excellence
Figure 1. The connotation of Applied Innovative Talents
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