The emergence of the knowledge-based economy has highlighted the need for the effective exploitation of knowledge, making knowledge management an essential activity in organizations. In an intensely competitive environment characterized by market globalization, phenomenal changes and ever-increasing complexity and inter relatedness of business challenges, it is critical that Knowledge Management (KM) directors/managers are equipped with an understanding of how technology is being used in an organizational setting. This includes being aware of the social infrastructure and systematic process of taking advantage of intellectual capital and knowledge assets for organizational success. More than a mere introduction of the tools and technology out there, this course explores the context of technology in today’s rapidly changing environment and seeks to build the capacity of the organization by developing, organizing, retaining and utilizing human and knowledge resources that contribute directly to its survivability and profitability.
The course draws upon the theories and practices of many disciplines such as business management, library science, information science and studies, information systems, computer science, philosophy, psychology, sociology, and many others to help students grapple with the challenges enumerated.
Because technology continues to change at lightning pace, how organisations can operation with this new paradigm of dynamism, unpredictability and acceleration requires action learning as a way to build competitive learning organizations.
This course is part of:
- Graduate Certificate in Information Management and Analytics
- FlexiMasters in Information Management and Analytics
The class offers a safe environment for students to hone their presentation, cognitive skills, develop negotiation techniques that are invaluable as part of the toolkit of a well-rounded knowledge manager. There will be equal attention paid to the development of softer skills in collaborative work, class discussions and research. Sessions of close reading of articles from peer-reviewed journals will also familiarize students to the internal structure of a good piece of academic writing.
Our basic textbook (Langer2018) focuses on the critical role IT plays in organizational development, and shows how action learning can improve the competitiveness of an organization. Taking the operational and strategic perspectives in defining the current IT problem, key learning issues are brought to the fore through a collection of interesting case studies. It details a dynamic model for effective IT management through adaptive learning techniques-supplying proven educational theories and practices to foster the required changes in employees. It examines existing organizational learning theories and the historical problems that occurred with companies that have used them, as well as those that have failed to use them. Key ideas like Artificial Intelligence, Data Mining, Big Data, Internet of Things (IOT), Metaverse, Supercomputing and their implications in the workplace and industries will also be examined.
Seminar and special sessions with speakers from various industries will also provide students with the opportunity to network and engage in discussion with practitioners of KM. Providing first-hand account of how challenges at work are resolved. Visits to National Supercomputing Centre, Singapore, High Performance Computing Centre, NTU and/or other venues will also be arranged to provide students with access to the latest in technology available.
Classes will be conducted every Mondays and Fridays from 6.30pm - 9.30pm (13 weeks).
|1||Overview of the course|
|3||The “Ravell” Corporation|
|4||The IT Dilemma|
|5||Technology as a Variable and Responsive Organizational Dynamism|
|6||Organizational Learning Theories and Technology|
|7||Managing Organizational Learning and Technology|
|8||Virtual Teams and Outsourcing|
|9||Forming a Cyber Security Culture|
|10||Digital Transformation and Changes in Consumer Behavior|
|11||Guest Speaker/ Visit to Technology Venue|
Working adults from the industry with some experience in information technology and related fields would better appreciate the course.
Good communication skills (written and spoken English) are recommended as some assessment components may require presentations and report writing.
Standard Course Fee: S$4,860
SSG Funding Support
Course fee payable after SSG funding, if eligible under various schemes
Fee BEFORE funding & GST
Fee AFTER funding & 8% GST
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)
Enhanced Training Support for SMEs (ETSS)
SCs aged ≥ 40 years old
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
|COURSE TITLE||ACADEMIC UNIT|
|CET180 Information Discovery in the Age of the Internet||3|
|CET181 Information Retrieval Systems and Techniques||3|
|CET182 Introduction to Data Mining||3|
|CET183 Information Visualization Techniques||3|
|CET184 Python for Data Analytics||3|
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Information Management and Analytics (total 9AUs) and FlexiMasters in Information Management and Analytics (total 15AUs).
- SkillsFuture Credit approved.