Developing Industrial Internet of Things Specialization

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.
WHAT YOU WILL LEARN
- 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
- What Industry 4.0 is and what factors have enabled the IIoT.

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Industrial IoT Markets and Security (Coursera)

This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree. Developing tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded [...]

Modeling and Debugging Embedded Systems (Coursera)

This is part 3 of the specialization. In this course students will learn : * About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios; * About Trimble Engineering's embedded systems for heavy equipment automation; * A deeper understanding [...]

Project Planning and Machine Learning (Coursera)

This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. In this course students will learn : * How to staff, plan and execute a project; * How to [...]