Date : 11 October 2018, Thursday
Time : 9:00am to 5:00pm
Venue : National University of Singapore
Course Fee : Standard Fee: SGD $856.00
Instructor : Prof. Gan Thong Ngee
This short course explains how Systems and Statistical thinking can improve operational efficiency and effectiveness in today’s complex and changing environments. Various examples and interactive discussions will be used to illustrate how insightful and competitive solutions can result from such thinking processes, overcoming possible wastes and shortcomings of the single-subject, deterministic approach commonly seen in conventional education curricula.
This short course aims at imparting to the participants important concepts and tools of Systems and Statistical thinking useful to decision-making at various operational levels.
At the end of the course, participants will be aware of more productive approaches to analyzing and solving real-world problems or designing new systems, and would be able to handle situations in their respective areas of work with fresh perspectives.
Who Should Attend
Managers and personnel with responsibilities for problem solving and decision-making in operational analysis, design and execution. The discussions will be generic and not confined to any particular industry or profession.
Fundamentals of Operational Excellence
Þ Impact of system definition on operational decisions
Þ Ambiguities in objectives and achievements
Þ Inter-relations among performance, resources and constraints
Systems and Statistical Perspectives
Þ Necessity and importance of statistical thinking
Þ Transition from data to information to decision making
Þ Examples of counter-intuitive results in data analysis
Data-Driven Information and Knowledge
Þ Conditions for valid information analysis
Þ Common system modeling procedures
Þ System models: use, misuse and abuse
Handling Complex or Unfamiliar Systems
Þ Avoiding pitfalls in real-world data collection and analysis
Þ Principles of efficient and effective data management
Þ Productivity in the face of uncertainties and unknowns
Enquiry and Registration
Please contact Ms Queenie Sim at email@example.com or +65 6516 5838 for more information.
Please refer here for more information.