About this course
We have witnessed the power of mechanization in the early nineteenth century, automation in the seventies, information, and the internet in the last decades. But now, the adaptation of connected intelligence into the business and social fabrics is advancing at an astonishing speed, which will completely change the way we conduct business.
In this course, we will discuss changes/predictions we foresee in the future, such as:
- The credit card business will fade out gradually
- All currency will be bitcoin
- Whereas traditional internet gives rise to the digital divide, the mobile internet will narrow the wealth gap
- Most e-business models will become obsolete, leaving the customer to factory (C2F)
- No more talents to hide except partners
- Mobile phones will be outdated and replaced by augmented virtual reality (AVR)
- Big corporates will transform to big platforms
- The birth of real Internet economics
- The death of global manufacturing to networked and dispersed manufacturing
This course will explain how these changes will be brought about by the extensive use of digital intelligence, which will be available on mobile, internet, and pervasive computing as homes, offices, and factories become a well-knitted cyber-physical system.
Enabling tools such as Cloud Computing, Big Data, Internet of Things and Cyber-Physical Systems are introduced. Automation, intelligence, and collaborations are also discussed with particular reference to smart manufacturing, smart products/services and smart cities, and their opportunities and challenges.
This is not a technical course; instead part of the focus is on organizational readiness, skills gaps, and competencies for knowledge workers to fully leverage the power of Industry 4.0.
Suitable for learners from all disciplines and interested in the mega changes to our society.
What you’ll learn
- Understand the various stages of industrial revolutions
- Understand the Future of Work and the skills needed
- The drivers, enablers and compelling forces for Industry 4.0’s advancement
- Smart factories and how they compare to existing ones
- Understand what internet of Thing (IoT) and Industrial Internet of Things (IIoT)
- Predictive Analysis, Big Data leading to data-driven decisions and automation
- Cyber-Physical Systems and other major systems in Industry 4.0
- Understand the role and importance of data and cloud computing
- How to use the Cloud to support human-machine collaborative efforts
- The use of collaborative robots
- Examples of smart automation, products, and services
- The challenges in cybersecurity and how to reduce them
- How organizations and knowledge workers can better prepare for Industry 4.0
A Course Sponsored By HKPolyUx
Free online courses from The Hong Kong Polytechnic University.
An Internationally Recognized University – Located in the heart of Asia
The Hong Kong Polytechnic University is committed to education and preparing students to become global citizens through quality learning and teaching. We are internationally known for our excellence in professional education and innovative research.
Established in 1937, we have nurtured over 355,000 graduates, many of whom have become leaders in their professional fields, contributing their knowledge and expertise to building Hong Kong’s thriving economy and improving the world.
We have the largest student community out of all Hong Kong’s publicly-funded universities, with some 32,000 full-time and part-time students on campus annually. In addition, the University’s Student Exchange Programme offers students opportunities to study and experience different cultures at over 220 renowned universities across 28 countries and regions. Every year, around 550 PolyU students go on exchanges while a similar number of inbound exchange students come to the University.
Over 200 programs, some unique in Hong Kong, are offered by our six faculties and two schools, each with its own unique strengths. We are the only university in Hong Kong whose curriculum mandates a Work-Integrated Education (WIE) component to facilitate work-based learning. Therefore our graduates are highly sought after by employers.
Meet your Instructors
Professor Eric Tsui is the professor of the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University, and Associate Director of Knowledge Management and Innovation Research Centre of The Hong Kong Polytechnic University. Eric Tsui joined Computer Sciences Corporation (CSC) in 1989 after years of academic research in automated knowledge acquisition, natural language processing, case-based reasoning and knowledge engineering and tools. His research was supported by grants and scholarships from Arthur Young, Rank Xerox, CSC, Graphic Directions and the Australian Research Council. He was also a gratis visitor to Microsoft Research in February 2000. Between August 2000 and January 2005, he assumed the roles of Chief Research Officer, Asia Pacific for CSC as well as Innovation Manager at Australian Mutual Provident (Australia) and Maybank (Malaysia). During his tenure at CSC, he made significant contributions to CSC’s expert systems products, applied research and innovation programmes. A recipient of several international awards in Knowledge Management and E-Learning, Professor Tsui has B.Sc (Hons.), PhD and MBA qualifications.
Dr. Jay Lee is Vice Chairman and Board Member of Foxconn Technology Group. He is also Ohio Eminent Scholar and L.W. Scott Alter Chair Professor, and Univ. Distinguished Professor at the Univ. of Cincinnati and is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) which consists of the Univ. of Cincinnati (lead institution), the Univ. of Michigan, and the Univ. of Texas-Austin. Since its inception in 2001, the Center has been supported by over 100 global companies. IMS was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012 which reported that the Center has delivered to its members a combined benefit of $847.6 million in cost savings and that the Center returned $238.30 of benefits for every $1 invested by the National Science Foundation.
He is also the Founding Director of Industrial AI Center (www.iaicentrer.com). He was selected to be one of the 30 Visionaries in Smart Manufacturing in the U.S. by SME in Jan. 2016. He has also been selected as the 20 most influential professors in smart manufacturing by SME Smart Manufacturing Magazine in 2020. He also serves as senior advisor to McKinsey & Company as well as a member of the Global Future Council on Production of the World Economics Council (WEF).
Previously, he served as director for product development and manufacturing at United Technologies Research Center (UTRC) as well as program directors for a number of programs at NSF including the Engineering Research Centers Program, the Industry/University Cooperative Research Centers Program, and Materials Processing, and Manufacturing Program, etc., etc. He also served on the Board on National Research Council (NRC) Manufacturing and Engineering Design (BMAED) during 1999-2005 as well as a number of NRC Study and Assessment Panels since 1999. He is a frequently invited speaker and has delivered over 260 keynote and plenary speeches at major international conferences. He is a Fellow of ASME, SME, PHM (Prognostics and Health Management), as well as a founding fellow of the International Society of Engineering Asset Management (ISEAM).
He has received a number of awards including the Prognostics Innovation Award at NI Week by National Instruments in 2012, NSF Alex Schwarzkopf Technological Innovation Prize in 2014, MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and PICMET Medal of Excellence in 2016.
Norbert Gronau studied engineering and business administration at the Berlin University of Technology. He got his Ph.D. 1994 for a framework on a strategic management information system for production management. Till March 2000 he was head of the self-founded research group Industrial applications of business information systems at the Institute of Business Information Systems of the Berlin University of Technology. His main research activities concentrate on the areas of Knowledge Management and Business Resource Management, in the private and public sectors. He is editor of the scientific journal Industrie Management – Journal for industrial business processes and co-founder of the journal PPS Management – (now Productivity Management) journal of production and logistics. Since 2007 Prof. Gronau is a member of the German Academy of Technical Sciences (acatech). He is active in the e-government network Amt24 e.V. and in the competence center for critical infrastructures (KKI e.V.).
Professor Doug Vogel is the chief academic director of management science and engineering of HIT. He was selected by the “Foreign Experts thousands of people plan,” the International Academy of Information Systems Association (AIS Fellow), and the International Association for Information Systems (AIS President). Reviewer for:
TMIS, IEEE Transactions on Professional Communication, Group Decision and Negotiation, European Journal of Information Systems, Journal of Strategic Information Systems, MIS Quarterly, Communications of the ACM, Management Science, Decision Sciences Recognition and Awards:
State Specially Recruited Expert, P.R. China – 2013
Association for Information Systems (AIS) President – 2012
Association for Information Systems (AIS) President-elect – 2011
Kappa Delta Pi (International Honor Society in Education) – 2011
- Lectures 0
- Quizzes 0
- Duration 6 weeks
- Skill level All levels
- Students 27699
- Certificate No
- Assessments Yes