Internet of Things: How did we get here?
Explore the evolution of connected technologies from early telephony to modern IoT, understanding core networking concepts.
Explore the evolution of connected technologies from early telephony to modern IoT, understanding core networking concepts.
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 Internet of Things and AI Cloud 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
ଓଡ଼ିଆ, Tiếng Việt
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What you'll learn
Understand telecommunications network evolution
Compare circuit and packet switched networks
Analyze wireless technology development
Explore IoT fundamentals and applications
Evaluate modern mobile technology features
Skills you'll gain
This course includes:
6.3 Hours PreRecorded video
27 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This foundational course traces the evolution of connected technologies from early telephone systems to modern IoT. Students explore the development of telecommunications, broadcast networks, and mobile technologies. The curriculum covers fundamental concepts in networking, including circuit and packet switching, wireless technologies, and the emergence of IoT applications, providing a comprehensive understanding of how current connected technologies evolved.
Welcome to IoT
Module 1 · 2 Hours to complete
Circuit Switched Networks
Module 2 · 4 Hours to complete
Packet Switched Networks
Module 3 · 2 Hours to complete
Computer Telephony
Module 4 · 4 Hours to complete
Wireless Technologies
Module 5 · 2 Hours to complete
Features and Apps
Module 6 · 1 Hours to complete
Future Outlook
Module 7 · 2 Hours to complete
Fee Structure
Instructors
IoT and Mobile Technology Innovation Leader
Dr. Ganz Chockalingam serves as Principal Engineer at the Qualcomm Institute, UC San Diego, bringing over 25 years of expertise in mobile technology and software development. After earning his Ph.D. in Electrical & Computer Engineering from the University of Iowa in 1995, his career path included significant roles at Ford Motor Company's Scientific Research Laboratory and co-founding Coolsync Inc., a web-based single sign-on service. His entrepreneurial journey continued at Wingcast, a Qualcomm-Ford joint venture, where he developed wireless telematics applications. Since joining Calit2-UCSD in 2002, he has led groundbreaking research in mobile applications across health monitoring, telematics, and medical domains. On Coursera, he teaches a comprehensive series of Internet of Things courses, including specialized modules on DragonBoard development, cloud services, and mobile surveillance systems. His academic contributions include numerous IEEE journal publications and service as a reviewer for IEEE Transactions on Automatic Control. His unique blend of industrial and academic experience makes him a leading authority in IoT and mobile technology education, with his courses reaching thousands of students globally through the Coursera platform.
Healthcare Technology Innovator and Signal Processing Expert
Harinath Garudadri serves as Research Scientist at the Qualcomm Institute of Calit2, UCSD, transitioning from a distinguished industry career to focus on advancing healthcare technology accessibility. His extensive background spans over four decades, beginning with his education from IIT Bombay and Ph.D. from the University of British Columbia. His career includes 16 years at Qualcomm, where he made significant contributions to speech recognition and audio coding technologies. His impressive portfolio includes 40 granted patents across diverse fields including body area networks, audio processing, video technology, speech recognition, and biomedical signal processing, with an additional 14 pending patents. His current research focuses on healthcare innovation, particularly supporting clinical research for emerging hearing aids and developing technologies to reduce healthcare delivery costs. His work has been instrumental in creating solutions that extend medical care beyond hospital walls through low-power sensing, telemetry of physiological data, and reliable body area networks. His contributions have been widely implemented in commercial cell phones and networks, earning over 3,491 citations for his research publications. At UCSD, he continues to bridge the gap between academic research and practical healthcare solutions, focusing on biomedical signal processing and healthcare technology accessibility.
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