About the course
The business landscape is changing so rapidly that traditional management, business, and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by artificial intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Big data will transform how we live, work and even think. These trends and more will have a profound effect on how we see the world and create policies. In this course, the following topics are covered:
- What is knowledge management?
- How is knowledge captured, elicited, organised and created in business?
- What is big data and how can we use data analytics from a laymen perspective?
- What is Open Linked Data and how can it support machine reasoning?
- What defines the era of Science 2.0?
- How can new knowledge be mined from big data?
- What are the technical and social problems with big data?
- What is cloud computing and cloud services?
- What are examples of applications and case studies?
The course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University. Most of its research is company and industry based. Capabilities and competencies of the KMIRC are further strengthened by the international alliances it has formed with leading practitioners, many of which are regarded as members of the "Hall of Fame" in knowledge management, and renowned worldwide.
What you will learn
By the end of this course you will be able to:
- Understand the role of Knowledge Management (KM) practitioners in creating business value;
- Become familiar with the techniques and tools for capturing, processing, classifying and organizing knowledge;
- How to analyze large quantities of data and information through analytics;
- Understand the role of social media and technologies in innovating new business services;
- Apply the principles you have learnt to company-based business projects.
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Requirements
This course is suitable for participants with a background in humanities, management, social science, physical science or engineering. No prior technical background is needed.
About the instructors
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.
W.B. Lee is the Chair Professor of the Industrial and Systems Engineering of The Hong Kong Polytechnic University, Director of the Knowledge Management and Innovation Research Centre of The Hong Kong Polytechnic University.
Klaus Tochtermann is the Director of Leibniz Information Centre for Economics (ZBW) and Professor of Media Informatics of University of Kiel in Germany.
Dr. Usama Fayyad is Chief Data Officer and Group Managing Director at Barclays Bank in London UK, where his responsibilities include data governance, information risk management, and the data infrastructure for BI, data warehousing, big data and analytics technologies across the Barclays Group globally. He has published over 100 technical articles in the fields of data mining, artificial intelligence, machine learning, and databases.
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Duration: 6 weeks, 6-8 hours per week
Language: English
Instructors: Eric Tsui, W.B. Lee, Klaus Tochtermann, Dr. Usama Fayyad
Institution: The Hong Kong Polytechnic University
