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David Sluiter

The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.

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The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.

In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.

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What's inside

Three courses

Industrial IoT Markets and Security

This course examines emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space.

Project Planning and Machine Learning

This course, also offered for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree, covers project planning, execution, and staffing; bill of materials creation; sensor calibration and validation; hard drive and solid state drive operation; basic file system operation and types used for big data storage; machine learning algorithms; and big data preparation for machine learning algorithms.

Modeling and Debugging Embedded Systems

This course covers SystemC for modeling cyber-physical systems, embedded systems in automotive and transportation, debugging deeply embedded systems, Lauterbach's TRACE32 debugging tools, promoting technical ideas, and lessons from engineering failures.

Learning objectives

  • Understand the various market segments and the potential revenue opportunities in each market segment
  • Plan for and develop a solid security approach to keep advisories from hacking an iiot system
  • Staff a project and then plan and execute a product schedule

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