Operational and Hardware Testing: An Introduction to Strategic Data Analytics

Two-day course: 12 - 13 March 2020

Synopsis

This course introduces strategies for data collection and analysis aimed at efficient empirical studies of new, unknown, or complex systems commonly encountered in civilian as well as military applications. The objective is to establish optimal operational conditions and parameters of such systems without costly and lengthy trials and modifications. Familiarity with these strategies is essential for meeting requirements such as time-to-market, time-to-deployment, and excellence in operational cost-effectiveness.

Learning Objective

This course aims at imparting to the participants the essence of data-based analytical techniques for understanding and management of hardware or man-machine systems.

Learning Outcome

At the end of this course, participants will  understand the role and use of data-based analytical techniques not available in common diploma and degree courses.

Participants are encouraged to bring their cases for discussion, illustration, and possible solution.

Who Should Attend

~ Managers and personnel with responsibilities for studying or operating hardware or man-machine systems

~ those seeking effective techniques of problem solving and decision-making.

The discussions will be practical, generic and not confined to any particular industry or business sector.

Pre-requisite

“O” level mathematics and familiarity with Windows operating system. 

Course Outline

General Framework

~ Performance improvement and optimisation

~ Approach to new, unknown, or complex systems

~ Empirical studies and data analytics


Fundamental Concepts

~ Theoretical vs real-world performance

~ Limitations of conventional methods

~ Purposes, types and uses of models


Practical Considerations

~ Design and implementation of empirical studies

~ Handling of the uncontrollable or unpredictable

~ Efficient characterisation of multiple parameters


Analysis and Optimization

~ Multiple-objective systems

~ Software selection and demonstration

~ Further approaches and techniques

 

 

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Instructor
Prof. Goh Thong Ngee
Date
12 - 13 March 2020
Venue
National University of Singapore
Status
Close for Registration
Course Fee
Early Bird Fee: SGD $1626.40
Standard Fee: SGD $1712.00
Special Fee: SGD $1626.40

*Fees indicated are inclusive of GST.

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

*The Earlybird Rate applies to registration received by 14 February 2020.

*The Special Rate applies to group registration of minimum 5 people, TDSI Alumni and lecturers. Registrants under special rate are not entitled to early bird discounted rate. 

* For programme update, please check on TDSI website http://www.nus.edu.sg/tdsi/