SITE MAP

Training experts in the field of AI predictive algorithms using electric vehicles and maintenance history data, which are the future of automobiles.

Utilizing data to quantitatively evaluate vehicle performance, diagnose future part failures, and build customer trust through final performance evaluations before selling used cars.

Minimizing operational risk by detailing failure guarantee conditions, implementing algorithms to predict part lifespan and maintenance costs based on current vehicle condition diagnostics and future failure predictions.

Fostering site-specific talents through industry-academia collaboration with domestic automakers (Hyundai/Kia) and electric vehicle parts manufacturers, and producing electric vehicle experts who fulfill social responsibilities related to carbon neutrality and renewable energy.

Green Electric Vehicle Engineer, General Mechanical Engineer, Construction Machinery Engineer, Electrical Engineer, Electronics Engineer, Electrical Works Engineer

Automobile Maintenance Engineer, Refrigeration and Air Conditioning Engineer, Wireless Installation Engineer, Electrical Railway Engineer, Firefighting Facilities Engineer, Semiconductor Design Engineer

Automobile Maintenance Industrial Engineer, Mechanical Design Industrial Engineer, Secondary School Teacher Certification

Researcher at Hyundai Motor, Kia Motors, Renault Samsung Motors

Korea Automotive Technology Institute, Korea Electrotechnology Research Institute, Korea Institute of Machinery and Materials, Korea Aerospace Research Institute

Secondary school teacher in the field of mechanical engineering, electric vehicle maintenance technician