Course Audience: Professional/Practitioner

Introduction to Electronics

This learning module is provided by Work-Ready Electronics and provides an introduction to electronics. Work-Ready Electronics modules are intended to be used either independently or integrated with current electronics curricula in college programs. This module is divided into three sections: Course Materials, Learning Activities, and Resources.

IT 312: Navigation Techniques Used in Connected and Automated Vehicles

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.

SeaMATE Underwater Robotics

These four Building Guides, one for each SeaMATE ROV kit, focus on learning the concepts behind designing, and the building of, underwater robots, and how underwater robots are used in various sectors of the Blue Economy. These guides include instructional materials such as how-to videos, Google Slide presentations, and more to support student learning. Students …

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Introduction to Precision Agriculture

This course will provide an introduction to Precision Agriculture technologies, covering both the applications and the different technologies (e.g. geographic information systems (GIS), global positioning systems (GPS), remote sensing systems, variable rate application etc that make precision farming possible. Precision Agriculture course developed for students of agricultural educational institutions by agriculture science specialization.

Artificial Intelligence for Robotics – Programming a Robotic Car

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 …

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