• 球盟会(中国)

    Intelligent Connected Vehicle Training Lab
    Introduction
    Applicable Majors: software engineering, computer science and technology
    Enterprise Positions: Java development engineer, web front-end engineer, 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 auto 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, 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.