Architecting Smart IoT Devices
Master embedded systems development for IoT. Learn hardware-software integration, RTOS, debugging, and power optimization techniques.
Master embedded systems development for IoT. Learn hardware-software integration, RTOS, debugging, and power optimization techniques.
This course teaches how to develop embedded systems for IoT devices. It covers hardware and software components, including processor families, operating systems, boards, and networks. Students learn to integrate pre-made components to reduce time to market. The curriculum includes RTOS implementation, debugging techniques, and low-power design. Through hands-on exercises, learners gain practical skills in architecting, implementing, and optimizing IoT devices. The course emphasizes real-world application, covering topics from basic architecture to advanced system finalization and security considerations.
4.3
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English
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What you'll learn
Understand the architecture of embedded systems for IoT devices
Learn to select and integrate hardware and software components for IoT solutions
Master the implementation and use of Real-Time Operating Systems (RTOS)
Develop skills in debugging and optimizing embedded systems
Understand low-power design techniques for IoT devices
Gain knowledge of network protocols and communication in IoT environments
Skills you'll gain
This course includes:
160 Minutes PreRecorded video
14 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive overview of architecting smart IoT devices, focusing on embedded systems development. It covers five main modules: introduction, hardware and software components for embedded systems, Real-Time Operating Systems (RTOS), system finalization, and low-power design. Students learn about processor families, development boards, network protocols, and software components essential for IoT devices. The curriculum emphasizes practical skills, including RTOS implementation, debugging techniques, and power optimization. Through a combination of lectures, readings, and hands-on experiments, learners gain experience in integrating various components to create efficient and secure IoT devices. The course also addresses advanced topics such as security considerations and device simulation.
Welcome to Architecting Smart IoT Devices
Module 1 · 22 Minutes to complete
Hardware & Software for EmS
Module 2 · 8 Hours to complete
RTOS
Module 3 · 10 Hours to complete
System Finalisation
Module 4 · 11 Hours to complete
Low Power
Module 5 · 1 Hours to complete
Fee Structure
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Instructors
Expert in Embedded Systems and Telecommunications
Prof. Dr. Martin Timmerman holds a Master's degree in Engineering Telecommunications from the Royal Military Academy Brussels, obtained in 1975, and a PhD in Applied Science from Ghent University, completed in 1982. He has been active in the field of embedded systems since 1980 and founded Dedicated Systems to support the community focused on testing real-time operating systems. Currently, he concentrates on testing virtualization solutions for both business and embedded systems while developing operating system concepts within the framework of swarm robotics. Prof. Timmerman is also involved in education as an instructor for the course "Architecting Smart IoT Devices" offered through Coursera, where he shares his expertise in embedded systems design and development. His extensive experience and research contribute significantly to advancements in the integration of technology and practical applications in various domains.
Professor and Expert in Embedded Systems at the University of Antwerp
Maarten Weyn received his Ph.D. in Computer Science from the University of Antwerp, Belgium, focusing on Opportunistic Seamless Localization. He is currently an Assistant Professor in the Department of Applied Sciences: Electronics-ICT at the University of Antwerp, where he teaches courses such as Mobile Communication and Communication Systems, as well as Ambient Intelligent IoT Systems. Weyn is also responsible for the Ambient Environments team project within the postgraduate innovative entrepreneurship program of Flemish Universities. His research, conducted within the iMinds-MOSAIC research group, emphasizes ultra-low power sensor communication, embedded systems, sub-1 GHz communication, sensor processing, and localization, often in collaboration with industry partners. He is a co-founder of several spin-offs, including AtSharp and CrowdScan, and serves as the director of the Dash7 Alliance. Additionally, Maarten is involved in education as a lecturer at the LoRaWAN Academy and offers courses on Coursera related to Embedded IoT systems. His work significantly contributes to advancements in communication technologies and localization systems.
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4.3 course rating
320 ratings
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