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NOTE: This course is happening over 8 days on Wednesdays and Thursdays in January starting on 1/8. The last class will be held on 1/30. Explore the transformative power of machine learning in aerospace over eight immersive classes. Discover how to enhance airport security with image data techniques and neural networks, identify aircraft using innovative model architectures and regularization methods, and optimize airport passenger flow through advanced traffic monitoring systems. Gain hands-on experience with managing real world datasets like LAX and CIFAR-10 for use in machine learning algorithms. This course will equip you with the ML skills to drive new innovations for efficiency and safety in the aviation industry. About the instructor: AVELA offers underrepresented minority students an opportunity to gain hands-on experience developing and presenting STEM activities to K-14 students, which bolsters the technical and leadership skills of UW’s URM student body. Many K-14 schools and communities in the greater Seattle area lack access to STEM resources like physical hardware and technology, career mentorship from professional engineers, college application assistance, as well as awareness of free online opportunities that they can take advantage of. AVELA’s projects aim to build sustained partnerships with underserved K-14 schools and communities across Washington state to support a more equitable public education system. Demographic Information: SPEEA ACE is state funded. Your responses to demographic information are voluntary and is requested by the granting agency and could help in the mentee matching process. SPEEA ACE may report aggregate findings about the demographics on its website or in other public spaces.