AUTO 2470 ADAS curriculum
AUTO 2470 ADAS curriculum Read More »
This Advanced Engines in Hybrid Electric Vehicle module consists of a PowerPoint presentation, two labs, and a syllabus designed to enhance automotive engine courses with HEV technologies and was developed through seed funding from the Center for Advanced Automotive Technologies (CAAT).
Advanced Engines in Hybrid Electric Vehicles (HEVs) Read More »
A course in the Vehicle Engineering Technician, Automotive Technology Associate Degree This advanced automotive technology course that should be taken in the last semester of a two-year automotive technology associate degree program or towards the end of an advanced certificate program in the modern technology of automotive electronic systems. The goal of the course is
Automotive Cybersecurity for Automotive Technicians Read More »
A course in the Vehicle Engineering Technician, Automotive Technology Associate Degree at Macomb Community College This course introduces students to principles of sensors (GPS, MEMS, LIDAR, Radar, Ultrasonic, Infrared) used in connected and automated vehicles, locomotion, autonomous mobile robots.
IT311 – Sensors Used in Connected and Automated Vehicles Read More »
The course is designed for the automotive technician who wants to gain greater knowledge in the practical management of electric vehicle systems. It is intended to give an in-depth look at the hybrid vehicle components including the Atkinson engine cycles, AC Induction & Permanent Magnet electric machine construction and operation, battery packs, power inverters, transaxles,
Electric Vehicles & Hybrid Technology Read More »
This course introduces students to principles of navigation techniques used in connected and automated vehicles. Topics include autonomous navigation and connected vehicles, basic navigational mathematics, mobile robot positioning, inertial sensors and navigation systems, global positioning system, kalman-fitering techniques, integrated navigation system, multisensory integrated navigation, fault detection and integrity monitoring, and communication among connected vehicles.
IT 312: Navigation Techniques Used in Connected and Automated Vehicles Read More »
Learn how to program all the major systems of a robotic car from the leader of Google and Stanford’sautonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including:probabilistic inference, planning and search, localization, tracking and control, all with a focus onrobotics. Extensive programming examples and assignments will apply these methods in
Artificial Intelligence for Robotics – Programming a Robotic Car Read More »
Automated, Connected, and Intelligent Vehicles is an advanced automotive technology course that should be taken in the last semester of a two-year automotive technology associate degree program or towards the end of an advanced certificate program in modern automotive technology electronic systems. The goal of the course is to introduce students to the various technologies
Automated, Connected and Intelligent Vehicles Read More »