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Intelligent Connected Vehicle Training Lab
Introduction
Applicable Majors: software engineering, computer science and technology
Enterprise Positions: Java development engineer, web front-end engineer, mobile application development engineer, algorithm engineer, product manager, software test engineer, etc
Applicable Scenarios: professional teaching, comprehensive practical training, competition training, exhibition and display
Course Products: data structure, basic programming, object-oriented programming design, software design and architecture, software quality assurance and testing and other professional basic courses and professional core courses
Project Products: practical training projects corresponding to multiple directions, such as Java development direction, large front-end direction, Android application development direction, Harmony application development direction, UI design direction and software testing direction, with the background of intelligent connected automobile industry
Intelligent Hardware: intelligent connected car hardware equipment



Feature

Teaching content docking Vocational skills: integrated into vehicle Android application development, artificial intelligence application, JNI programming, CAN communication, AIDL, SpringBoot framework technology, mobile cross-platform technology, low code technology, etc., the curriculum and project system runs through the complete talent training cycle, progressive training under the same business scenario, and all-round standard vocational skills requirements.


Teaching environment docking enterprise scenario: intelligent cockpit system, intelligent charging system, close to the real production environment of the industry.


Learning and assessment docking professional standards and competition standards: comprehensive docking software development core position ability requirements.

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