Executive Courses

Upskilling Your Workforce through TDSI’s Executive Courses

TDSI’s Executive Courses under its Continuing Education arm look at domain-specific disciplines in systems thinking and systems engineering, as well as any in-trend/ emerging technologies, to upskill the Singapore defence workforce in line with the nation’s advocacy for lifelong learning. Embracing the digital transformation landscape today, participants will benefit from these courses, learning from subject matter experts from the defence technology community and/or academic institutions, on valuable topical knowledge and skillsets to manage real-world applications. This allows course participants to strengthen their capabilities and value-add to their employing organisations.

TDSI’s Executive Course “Military Navigation Systems Workshop” for Singapore’s Defence Technology Sector

Given the critical importance of navigation in modern military systems and operations that leverages on smart technologies, access to reliable navigation data is imperative while denying them to adversaries during military operations. The executive course on “Military Navigation Systems Workshop” aims to highlight the vulnerabilities in military navigation systems under different deployment scenarios, and share potential corresponding counter-measures. Participants from the defence technology community were appreciative of the knowledge gained from the workshop and acknowledged that the learning was highly relevant and impactful to their current field jobs/ projects. This workshop is well-recognised by the Professional Engineers Board and qualified for 6 Professional Development Units.

TDSI’s Executive Course “Systems Engineering and Analysis of Emerging Advanced Technologies for Defence Applications”

It is important for the Singapore defence forces to be at the frontier and be knowledgeable about emerging technologies for defence applications. The executive course on “Systems Engineering and Analysis of Emerging Advanced Technologies for Defence Applications” aims to present concepts and methods for engineering and analysing emerging advanced technologies, that include artificial intelligence and directed energy weapons, for defence applications. Course participants from the defence technology community have learnt and gained insights from the course that introduced concepts in complexity theory, strategic thinking, technology assessment, systems engineering and systems analysis. Course participants were appreciative that the learning gained have value-added to their current work with their primary affiliated organisations in the defence eco-system.

TDSI’s Executive Course “Generative Artificial Intelligence”

Artificial Intelligence (AI) technologies have been widely adopted in operations and work processes/ systems at the national level and in various industries. Generative AI is the latest cutting-edge technology that has been launched to extreme popularity, with progressive adoption by enterprises and industries because of its capabilities that can boost productivity and value-add decision-making, alongside many other deployment opportunities. Recognising the increasing importance of Generative AI for the defence sector, TDSI organised the executive course on this in-trend technology for the Singapore defence technology community to equip them with the fundamental knowledge of key concepts and applications of Generative AI, included algorithms such as generative adversarial networks (GANs) and variational autoencoders (VAEs). Course participants learnt how Generative AI could enhance military operations, from synthetic training data generation to scenario planning and decision support systems. This course is well-recognised by the Professional Engineers Board and qualified for 12 Professional Development Units.

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Cyber-Physical Systems, Data Analytics and Digital Twin

Overview

This course is designed to enable existing defence personnel involved in the planning and delivery of digital twin systems to make judgments to specify, design and review digital twin systems to support defence activities. The perspective of the course recognises that the digital twin deployment relies on models of the system supported and maintenance of the data which in turn demand appropriate deploying organisation structures and practices in place.

Learning Outcome

(1) Learners will be able to elicit stakeholder needs and develop stakeholder requirements and system requirements for a digital twin in a defence context.
(2) Learners will be able to propose a digital twin for an asset, or class of asset, and the necessary supporting environment.

Trainer Bio

Professor in Digital Engineering<br>Head of Centre for Digital Engineering and Manufacturing<br>Cranfield University Professor John Erkoyuncu

Professor John Erkoyuncu

Professor in Digital Engineering
Head of Centre for Digital Engineering and Manufacturing
Cranfield University

Prof John Erkoyuncu is a Professor in Digital Engineering and Head of the Centre for Digital Engineering and Manufacturing at Cranfield University. Prof Erkoyuncu’s main research focus centres on digital manufacturing focusing on 1) augmented reality, 2) digital twins, 3) dynamic simulation for through-life engineering, and 4) maintenance optimisation. Prof Erkoyuncu has extensive experience with securing funding from Industry, Innovate UK, EPSRC, and EU. He works closely with organisations such as BABCOCK International, Siemens Energy, Rolls-Royce, NHS, MoD, DSTL, BAE Systems, ThermoFisher, and NHS across the defence, aerospace, rail, and healthcare sectors. A summary of his key achievements:

  • As a PI, and Co-I on grants from Innovate UK, EPSRC, and industry generated over £8 million research income since 2013.
  • Over 150 publications in journals, conferences and book chapters – Google Scholar H Index 34, cited by 4733 (07/05/24)
  • Fellow of the Higher Education Academy.
  • Associate Member of CIRP from 2021 and Former Chair of the CIRP Research Affiliates (2019-2020).
  • Co-Chair of Through-life Engineering Services Council from 2021.
  • Chartered Engineer and Member of IET.
  • Membership: Digital Twin Hub – Community Council from 2022; Team Defence Information – Steering Group for Digital Twins from 2021; Digital Engineering Working Group for the Institute of Asset Management from 2022.
  • Launched a new MSc in Digital and Technology Solutions in October 2022 focusing on digital engineering covering – data, modelling and simulation, digital twins, machine learning, and virtual/ augmented reality.

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