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.
Internet of Things and Data Analytics for Industry
Overview
The objectives of this course are to enable participants to gain a working knowledge about the Internet of Things (IoT) and its potential to transform industrial sectors due to its ability to provide real-time visibility into operational processes. It also covers data analytics which enables trends to be identified and anomalies to be detected so that organisations can respond appropriately. A hands-on session provides participants with the opportunity to put into practice the concepts learnt.
This short course will be conducted fully online using Zoom, a professional video conferencing application that provides good video and audio quality, and computer screen sharing features.
The experience for participants will be similar to attending the course in-person, without the hassle of travelling to the course venue. The sessions will be interactive.Participants can raise their hands and ask questions and group discussions can be carried out.
Requirements:
Decent laptop or computer with webcam, headset (microphone and headphones) and a good Internet connection.
Note:
A separate registration is required for each participant.
Learning Outcome
- Be informed about the state‐of‐the‐art in IoT devices and techniques
- Understand the key technological building blocks of IoT devices, such as sensors, wireless networking and embedded systems
- Understand IoT data aggregation and analytics using edge and cloud computing
- Learn about data analytics algorithms for analysing real‐time IoT data and data sets
- Gain experience in applying data analytics algorithms on IoT data to develop actionable insights based on an industry case study
Trainer Bio
Tham Chen Khong
Associate Professor
Tham Chen Khong is an associate professor at the Department of Electrical and Computer Engineering of the National University of Singapore (NUS). His research and training activities are in the areas of sensor data analytics, wireless mobile computing and machine learning algorithms and architectures.
Other than NUS, he has worked at A*STAR Institute for Infocomm Research (I2R) and Accenture. He has led a number of research projects funded by NRF, A*STAR and MOE, Singapore, as well as consultancy projects with industry.
He obtained his Ph.D. and M.A. degrees in Electrical and Information Sciences Engineering from the University of Cambridge, United Kingdom, and is a senior member of the IEEE.
Details
- 22 May 2020, 9:00 am - 5:00 pm
- 1 day
- Online Learning Via Zoom
Status
This event is now closed.