Introduction to Data Analytics for Operational Excellence

One-Day Course 

Course Description

The age of “big data” owes its emergence to the prevalence of various forms of sensors and automatic data collection systems, and data constitutes an important source of information to decision makers.  In operations, R&D or any investigative environment, a reverse requirement of purposeful data acquisition usually exists. This is due to the fact that the needed data is  usually not available or inadequate, and system mechanisms are often not sufficiently understood or able to lend themselves to theoretical descriptions. 

This short course aims at bringing to the investigators analytical tools most appropriate for studies of speculative, new, complex, or simulated systems or scenarios, stressing efficiency of information gathering as well as effectiveness of data interpretation, leading to general operational excellence.  A practical, rather than theoretical, approach is taken in bringing out the principles and techniques throughout the course, and no prior knowledge related to the subject contents is assumed.

Learning Objectives

To understand the concepts, strategies and techniques of efficient data acquisition and utilization for optimal decision making.

Learning Outcomes

Participant will be able to appreciate and apply techniques of modern data analytics that are usually not covered in conventional academic curricula in institutions of  higher learning.

Who Should Attend

Management and line personnel that have the responsibility to collect and interpret operational data for organizational effectiveness and productivity.

Topics

1) System definition and prescription

2) Framework for system studies

3) Purposeful data acquisition

4) Applied statistical experimental design

5) Performance model building and verification

6) Sequential data acquisition applications

7) System parameter screening and evaluation

8) Empirical optimization of complex systems

9) Conflicting operational objectives

10) Operational testing and evaluation

11) Optimization and control strategies

12) Seeking and tracking of operational excellence

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Instructor
Prof. Goh Thong Ngee
Date
07 May 2019
Venue
National University of Singapore
Status
Close for Registration
Course Fee
Standard Fee: SGD $856.00

* Fees indicated are inclusive of GST.

* Fees include course materials, morning and afternoon tea break.

* The course date is subject to change. Please check TDSI website www.nus.edu.sg/tdsi for programme updates.