Undergraduate Certificate in Autonomous Aerial Vehicles Design
-- ViewingNowThe Undergraduate Certificate in Autonomous Aerial Vehicles Design is a comprehensive course that prepares learners for the fast-growing drone industry. This program emphasizes the design, development, and operation of autonomous aerial vehicles, addressing critical areas such as navigation, control systems, and data analysis.
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โข Fundamentals of Autonomous Systems – This unit covers the basics of autonomous systems, focusing on autonomous aerial vehicles (AAVs). It includes an introduction to AAVs, navigation, and control systems.
โข Aerodynamics – This unit delves into the principles of aerodynamics, specifically as they apply to AAVs. It covers topics such as lift, drag, and thrust, as well as the impact of airfoil design on AAV performance.
โข Sensor Technologies – This unit explores the various sensor technologies used in AAVs, including lidar, radar, and vision sensors. It covers sensor selection, calibration, and data fusion techniques.
โข Flight Control Systems – This unit covers the design and implementation of flight control systems for AAVs. It includes topics such as stability and control, autopilot design, and sensor-based control algorithms.
โข Artificial Intelligence (AI) & Machine Learning (ML) in AAVs – This unit focuses on the application of AI and ML in AAVs. It covers topics such as object detection, path planning, and decision-making algorithms.
โข Simulation and Testing – This unit covers the simulation and testing of AAVs. It includes topics such as simulation tools, hardware-in-the-loop testing, and flight testing procedures.
โข AAV Regulations and Ethics – This unit covers the legal and ethical aspects of AAVs. It includes topics such as airspace regulations, privacy concerns, and ethical considerations in the design and operation of AAVs.
โข Autonomous Aerial Vehicle Design Project – This unit provides an opportunity for students to apply the concepts and techniques learned in the previous units to design and build their own autonomous aerial vehicle.
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