Complete Course

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.

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Introduction to Precision Agriculture

Megan Hall

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.

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Artificial Intelligence for Robotics – Programming a Robotic Car

Megan Hall

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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Automated, Connected and Intelligent Vehicles

Megan Hall

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

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Geospatial Data Acquisition (GEO 2200/4200)

Megan Hall

This applied geospatial course introduces students to primary data collection methods in the field, with emphasis on GPS/GNSS, sUAS (drone), and smartphone/tablet operations. The main objective is to provide students with the knowledge and skills needed to successfully plan and execute field campaigns that result in the accurate collection and processing of geospatial data that

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UAS Field Camp

Megan Hall

This course applies all of the theory and skills taught in the first two GUAS courses through hands-on field-based experience. Students will be responsible for planning and executing sUAS flight plans. They will spend their time in the field at FAA-approved flight sites to demonstrate live operation of sUAS platforms. This course follows up with

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Digital Mapping with UAS – GUAS 2372 UAS 102

Megan Hall

This course introduces students to the fundamentals of mapping with small Unmanned Aircraft Systems (soaps) using digital imaging sensors to produce high resolution, spatially accurate 2D and 3D geospatial data products. The course will cover the full spectrum of UAS mapping from survey design to data processing to product assessment. Students will learn the principles

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IT 312: Navigation Techniques Used in Connected and Automated Vehicles

Introduction to Precision Agriculture

Artificial Intelligence for Robotics – Programming a Robotic Car

Automated, Connected and Intelligent Vehicles

Geospatial Data Acquisition (GEO 2200/4200)

UAS Field Camp

Digital Mapping with UAS – GUAS 2372 UAS 102

Drone Technology II

Drone Technology I

Fundamentals of UAS

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