Skills
Acquire knowledge to create the foundations for future originality in the development and application of ideas, often in a research and innovation context.
Learn how to apply knowledge and the capacity to solve problems in new, multidisciplinary environments related with the area of study (in this case aerospace autonomous system)
Acquire capacity to integrate knowledge and face the complexity of judging given information that is incomplete and might include subjective reflexions on social responsibility and ethics.
Acquire capacity to communicate extracted conclusions, supporting them in a clear and unambiguous manner.
Acquire abilities to further continue studying the topics in a self and autonomous way.
Acquire capacity to project, build, inspect and certify autonomous aerospace vehicles and its subsystems.
Acquire capacity to technically manage research, development and innovation projects both in companies and centers of research in aerospace.
Aquire capacity to integrate complex aerospace system and work in multidisciplinary teams.
Acquire capacity to analyze and establish correction measures for environmental impact of the developed technical solutions.
Acquire capacity for the analysis and resolutions of aerospace problems in new environments.
Acquire knowledge and comprehension on the legislation that applies in the use of autonomous vehicles.
Apply knowledge acquired on avionics, embedded software, and control to aerospace autonomous systems framed into the system of air navigation.
Apply knowledge acquired on Air Navigation (including routes; communication, navigation, and surveillance systems; regulations) to understand the integration of autonomous vehicles in a non-segregated airspace.
LEARNING OUTCOMES
By successfully completing this course, the student should be able to:
1) Understand the technologies that apply to aerospace autonomous systems, including legislation, economical and industrial frameworks, and vehicle design.
2) Understand the mathematical foundations of some of the fundamental systems used of autonomous navigation, including the dynamics of quad-rotors, and the principles of inertial measurement units and Kalman Filters.
3) Understand how these systems can be simulated aided by computers
4) Understand how these knowledge can be incorporated into state of the art hardware.
5) Understand the different elements that compose a quad-rotors, including hardware and software, learn how to ensemble them, calibrate the vehicles, and finally fly it in an autonomous way.