IoT System Architecture Design
Learn essential concepts and methodologies for designing and evaluating IoT system architecture through a comprehensive three-week course at Waseda University.
Learn essential concepts and methodologies for designing and evaluating IoT system architecture through a comprehensive three-week course at Waseda University.
This comprehensive course delves into the intricacies of IoT system architecture design and evaluation. Students will explore the fundamental concepts of architecture in IoT systems, which are inherently distributed, heterogeneous, and complex. The course emphasizes systematic approaches to architecture design and evaluation, focusing on two key methodologies: Attribute-Driven Design (ADD) for design and Architecture Tradeoff Analysis Method (ATAM) for evaluation. Participants will learn to address multiple system functionalities and quality requirements simultaneously, gaining practical skills in developing robust IoT architectures. The course builds upon Waseda University's SmartSE program, offering valuable insights into professional IoT system development.
7,325 already enrolled
Instructors:
English
English
Powered by
What you'll learn
Recognize the fundamental concepts of architecture and its crucial role in IoT system development
Master the Attribute-Driven Design methodology for creating effective IoT system architectures
Apply the Architecture Tradeoff Analysis Method to evaluate and optimize IoT system architectures
Develop skills in addressing multiple system functionalities and quality requirements simultaneously
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
Module Description
This course focuses on teaching students how to design and evaluate IoT system architectures. It covers the foundational concepts of architecture in IoT systems, emphasizing their distributed and heterogeneous nature. Students learn systematic approaches to architecture design using the Attribute-Driven Design (ADD) methodology and evaluation through the Architecture Tradeoff Analysis Method (ATAM). The course addresses the challenges of balancing multiple system functionalities and quality requirements in IoT system development, providing practical skills for professional implementation.
Fee Structure
Instructors
1 Course
Leading Software Engineering Scholar and IEEE Computer Society Leader
Hironori Washizaki serves as Professor and Associate Dean of the Research Promotion Division at Waseda University, while also holding positions as Visiting Professor at the National Institute of Informatics and Outside Director at multiple technology companies. After receiving his PhD in information and computer science from Waseda University in 2003, he has established himself as a prominent figure in software engineering research and education. His work spans systems and software engineering, with particular focus on software design patterns, quality assurance, and machine learning applications. Currently serving as IEEE Computer Society President-Elect 2024 and elected 2025 President, he leads the Guide to the Software Engineering Body of Knowledge (SWEBOK) evolution project and chairs various IEEE committees. He has published over 200 research papers in prestigious journals and conferences, with highly-cited works on software reusability, security patterns, and machine learning systems design. His recent research focuses on IoT design patterns and machine learning applications in software engineering, while leading the SmartSE professional IoT/AI education project. Since 2015, he has served as Convenor of ISO/IEC/JTC1 SC7/WG20, working to standardize bodies of knowledge and professional certifications in software engineering
1 Course
Software Engineering and Self-Adaptive Systems Expert
Kenji Tei currently serves as Associate Professor at the Institute of Science Tokyo (formerly Tokyo Institute of Technology), bringing extensive expertise in software engineering and self-adaptive systems. After completing his academic journey at Waseda University, earning his B.E., D.E., and PhD in Engineering by 2008, he built a distinguished career across several institutions. His professional path includes positions at Waseda University's Media Network Center, National Institute of Informatics, SOKENDAI, and most recently as Associate Professor at Waseda University from 2018 to 2023. His research focuses on self-adaptive systems, software architecture, requirement engineering, and model-driven engineering, earning recognition through awards including the SEAMS Best Paper Award 2016 and SENSORCOMM Best Paper Award 2012. He has made significant contributions to EU-Japan joint research projects for smart cities, including the M-Sec project where he led research on multi-layered security technologies and smart IoT application development. As an active member of the academic community, he serves in leadership roles at major conferences and has published extensively on software engineering topics, particularly focusing on developing flexible software for next-generation systems such as IoT, autonomous driving systems, and smart cities.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.