Master IoT-based autonomous aircraft landing systems through hands-on implementation of embedded real-time processing and secure web connectivity.
Master IoT-based autonomous aircraft landing systems through hands-on implementation of embedded real-time processing and secure web connectivity.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Development of Secure Embedded Systems Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Implement IoT-based autonomous aircraft landing systems
Develop embedded real-time processing solutions
Integrate secure web connectivity and cloud-based backends
Handle interfaces between multiple system components
Evaluate system efficiency and performance parameters
Skills you'll gain
This course includes:
0.6 Hours PreRecorded video
1 quiz, 1 programming assignment, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This capstone project course integrates knowledge from real-time systems, web connectivity, security, and embedded hardware. Students develop a comprehensive system for IoT-based autonomous aircraft landing, implementing algorithms and handling interfaces between different actors and hardware platforms. The course emphasizes practical engineering tasks, system evaluation, and real-world parameters like energy consumption and cost, providing hands-on experience in modern embedded software development.
Introduction and methods
Module 1 · 3 Hours to complete
Implementation and integration
Module 2 · 7 Hours to complete
Project submission and Peer review
Module 3 · 19 Hours to complete
Fee Structure
Instructors
Pioneering Research in Embedded Systems at EIT Digital
Farhoud Hosseinpour is a Doctoral Researcher at EIT Digital, where he focuses on advancing knowledge in the field of embedded systems and real-time technologies. His research encompasses several key areas, including "Capstone: Autonomous Runway Detection for IoT," "Development of Real-Time Systems," "Embedded Hardware and Operating Systems," and "Web Connectivity and Security in Embedded Systems." Through these courses, he aims to equip students with the skills necessary to design and implement innovative solutions in the rapidly evolving landscape of Internet of Things (IoT) and embedded systems. Farhoud's work not only contributes to academic research but also prepares students for practical challenges in technology development, emphasizing the importance of security and performance in modern applications.
Associate Professor at the University of Turku
Dr. Juha Plosila is an Associate Professor in Digital Systems Design and Embedded Computing at the University of Turku (UTU), Finland. He has a robust academic background, having received his PhD in Electronics and Communication Technology from UTU in 1999. With over a decade of experience as an Academy Research Fellow, he leads the Embedded Computer and Electronic Systems (ECES) research unit and co-leads the Resilient IT Infrastructures (RITES) research program at the Turku Centre for Computer Science (TUCS). His research focuses on adaptive network-on-chip (NoC) based parallel embedded systems, emphasizing self-aware monitoring and control architectures.On Coursera, Dr. Plosila offers courses such as "Capstone: Autonomous Runway Detection for IoT" and "Web Connectivity and Security in Embedded Systems," designed to provide learners with practical skills in embedded systems and IoT applications. His involvement in European collaborations, including leading the Embedded Systems master’s program at EIT Digital, showcases his commitment to advancing education and research in digital technologies. Through his teaching and research initiatives, Dr. Plosila contributes significantly to the fields of digital systems and embedded computing.
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