Engineer's Skills for the Internet of Things (IoT)

In Engineers' Skills for the Internet of Things (IoT), you'll learn ...

• The structure and components of the Internet of Things (IoT) and the user base for IoT projects
• How the use of Model Based Engineering (MBE) can improve the design and quality of the IoT products
• The foundations of Artificial Intelligence, including the ways the Engineer can interact with it
• Typical steps taken for big data analysis and the challenges faced when analyzing big data

Overview

Preview a portion of this course before purchasing it.

Credit: 4 PDH

Length: 68 pages

Over the past couple of decades or more, the Internet of Things (IoT) has evolved into a recognized industry paradigm. To support it, industry estimates show that by year 2030 the demand for IoT-related technical skills will not only drastically increase but also need to be further augmented by higher cognitive skills and more in-depth social and emotional skills. In this new era of evolution, the Engineers' skills must adapt and advance to successfully answer the current and future IoT Product demands.

Getting the IoT ecosystem to work better than the sum of its parts requires much more than the basic technical skills currently espoused by Engineers. This course is answering this need by briefly introducing some of the new disciplines that support the IoT: emerging disciplines (Data Engineering, Virtual Reality / Virtual Twin, Artificial Intelligence, Cybersecurity), collaborative disciplines (Design Standardization across disciplines and organizational functions, Event Stream Processing), and blended disciplines (Systems Engineering and Concurrent Engineering), among others. Additionally, a number of practical and specific IoT Engineering Design principles are presented.

The Engineers' skills demanded by those disciplines, in both the technical and non-technical realms, are presented and analyzed: managing Complexity, making sense of Big Data, Lateral Thinking and Natural Language Processing. Moreover, measures to handle Cybersecurity and Managers' skills required to manage IoT projects and teams are shown in dedicated sections, as those are some of the most critical IoT areas.

The foundational learnings acquired in this course, enhanced by a few practical examples, will allow the interested readers to not only be better in their daily functions, but also further expand their knowledge as IoT evolves.

This course will answer the needs of Engineers of all disciplines, Engineering Project Managers and Engineering Managers who are interested in being ready for the new paradigm of the 21st Century - the Internet of Things.

Learning Objectives

Upon completion of this course, participants will be able to:

• Identify the specific design requirements for IoT projects and approaches for addressing them.
• Explain virtual reality and digital twin concepts and how they can improve product quality.
• Describe cybersecurity principles and measures for developing a satisfactory cybersecurity plan.
• Apply IoT component libraries to improve the design of IoT products.
• Summarize systems engineering principles, advantages, challenges, and their application to IoT projects.
• Explain concurrent engineering principles, advantages, challenges, and their application to IoT projects.
• Describe how complexity affects IoT projects, how problems can be handled across simple-to-chaotic domains, and the associated methods and strategies for managing complexity.
• Explain Gödel’s Incompleteness Theorem and strategies for handling complex problems in light of the theorem.
• Apply Bayesian theory and Bayesian networks to pattern recognition.
• Describe the lateral thinking method and strategies for applying it.
• Explain the function of natural language processing algorithms and how they support artificial intelligence.
• Identify the engineering management skills required to successfully deliver IoT projects.

Certificate of Completion

You will be able to immediately print a certificate of completion after passing a multiple-choice quiz consisting of 20 questions. PDH credits are not awarded until the course is completed and quiz is passed.