Accenture Professor of Computer Information Systems, Professor of Technology & Operations
Industrial Internet of Things (IIoT)
What You'll Learn
- Understand the basics of IIoT, including its applications in manufacturing and business consideration for this technologies
- Hear from industry experts talking about the opportunities and challenges of implementing IIoT in the form of interviews and case studies
4 Modules
12 Hours
3 hrs per module (approx.)
Rating
About Industrial Internet of Things (IIoT)
In this course, learners will be introduced to the concept of the Industrial Internet of Things, or IIoT, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include information technology infrastructure, the business value of implementing IIoT, and what needs to happen across the organization to ensure successful implementation.
Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing IIoT, how IIoT is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing.
The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.
Skills You'll Gain
- Advanced Manufacturing
- Industrial Internet Of Things (IIoT)
- Infrastructure Management
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to Industrial Internet of Things (IIoT), a course designed to explore how IIoT is transforming the manufacturing industry. You will learn how IIoT works, its business applications, implementation strategies, and potential risks. Industry insights from companies like Siemens, Ford, and Tata Steel will provide practical perspectives. This course, part of the Digital Technologies and Future of Manufacturing series, is suitable for learners with a basic understanding of technology and software.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: Series Introduction
- Video: Welcome!
- Video: Our Learning Plan
- Reading: Course Syllabus
- Discussion Prompt: Introduce Yourself!
- Reading: Pre-Course Survey
- Video: Digital Technology Trends in Manufacturing
- Video: Insights from Siemens - Digital Transformation of Manufacturing
- Video: Insights from Fast Radius - An Entrepreneur's Journey in Digital Manufacturing
- Video: Consumer Driven Change in Manufacturing
- Video: Organizational Challenges in Digital Transformation
- Video: Insights from Siemens - Complexity from Legacy Systems and Legacy Mindset
- Video: Digital Capabilities are Lifesavers
- Video: Insights from Siemens - Post COVID Manufacturing
- Video: Insights from Siemens - Managing Diversity in New Talent
- Video: Insights from Siemens - Diversity Equity and Inclusion: Current Leadership & Digital Transformation
- Discussion Prompt: Diversity, Equity, and Inclusion Within Your Organization
Module 2: The Industrial Internet of Things (IIoT)
- Video: Course Introduction
- Video: What is the Industrial Internet of Things (IIoT)?
- Video: Sensor Technology and Industrial Applications
- Video: Insights from Ford - Sensors to IIoT
- Reading: Self-reflection - Sensors to IIoT
- Video: Insights from Ford - IIoT Manufacturing Examples
- Reading: Self-reflection - IIoT Manufacturing Examples
- Video: Economics of Sensor Technology
- Video: Common Business Cases for Sensors
- Video: Insight from Tata Steel - Productivity, Safety, and Security with IIoT
- Reading: Self-reflection - Productivity, Safety, and Security with IIoT
- Video: Insights from Tata Steel - IIoT Example for Pandemic Safety
- Discussion Prompt: Ensuring the Safety of Employees
Module 3: Computing Resources and Business Context of IIoT
- Video: What is Cloud Computing?
- Video: Insights from Tata Consulting Services (TCS) - IIoT Applicaton Examples
- Video: IIoT Ecosystem
- Video: Insights from TCS - IIoT Ecosystem Roles of TCS
- Video: IIoT Business Value Proposition
- Video: IIoT Implementation Framework
- Video: IIoT Challenges and Risks
- Video: Insights from Siemens - IoT Risks
- Reading: Self-reflection - IoT Risks
- Video: Insights from TCS - Risks and Challenges with IIoT
Module 4: Future Trends, Summary, and Course Project
- Video: IIoT Future Trends
- Video: Insights from TCS - Future of IIoT
- Video: Insights from Professor Yogesh Gianchandani - The Future of Sensor Technology: Microsensors
- Video: Insights from Omniscent - From Sensor Technology to a Business Model
- Discussion Prompt: Transforming the "breath biopsy"
- Video: IIoT Summary
- Reading: Post-Course Survey
Grading Policy
This course contains modules. Learners pursuing a course certificate will be assessed through four quizzes worth 15% each (60% total), and a course project worth 40%. The course project involves writing a minimum 500-word proposal based on a case study. You will evaluate proposals from two peers and have your proposal evaluated by two peers using a provided rubric.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required
