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Designing and Integrating IoT Devices

A required course in the Internet of Things Specialized Studies Program.

Course closed to new registrations: Call ( 949 ) 824-5414 for more information or sign up below to be notified when this course becomes available.×

Course Description

The explosive growth of the Internet of Things (IoT) is changing our lives. Fueled by dramatic increases in technology and the rapid drop in price for typical IoT components, the IoT is being used to sense, connect, and automate our world. This course explores the design of embedded IoT systems and how these systems are connected to the physical world. It provides an overview of the specialized network communications and security that are required for embedded IoT systems. Course participants gain hands-on experience using the Arduino and Raspberry Pi hardware/software platforms to explore specific concepts and technologies that are important for designing and connecting embedded IoT systems. The Arduino and Raspberry Pi sense and control the environment using add-on components such as sensors, actuators, and expansion boards. Course participants are introduced to different types of sensors and actuators. They learn to program the Arduino and Raspberry Pi to use these components. Since the external world may use continuous or analog signals and the hardware is digital, participants learn how signals are converted from analog to digital and from digital to analog forms. Participants learn how to make design trade-offs between hardware and software. Participants also learn how to program the Raspberry Pi using Python.

Students will need an Arduino board, a Raspberry Pi board, and other items. Details about what to order will be provided in the first week of the course.

  • Be notified when this class becomes available!

  • Details
  • $725
  • January 09, 2023 to March 19, 2023
  • Delivery Mode: Online
  • Reg#: 00102
  • ID/Units: I&C SCI X481  (3.00)
    ( Section 1 )
  • Quarter: WINTER 2023


Thomas C. Jannett, M.S., Ph.D., is Professor Emeritus of Electrical and Computer Engineering at The University of Alabama at Birmingham. He has more than 30 years of experience in teaching and research. Research expertise includes smart sensor networks that use intelligent control and signal processing. He developed instruments and rehabilitation devices that use embedded microcomputers for data acquisition, signal processing, and intelligent control. He has published extensively in these areas. Current interests include analytics, machine learning, and the Internet of Things.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbooks are required for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START01/09/2023Monday------Online (Access Begins)---
END03/19/2023Sunday------Online (Access Ends)---