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Professional Certificate

Professional Certificate in Emerging and Disruptive Technologies

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Blockchain, Digital Currencies, and Distributed Ledgers Starts from Here28 May, 29 May 2024 | 9am-5.30pmSynchronous e-LearningTGS-2020503102
Cybersecurity Begins With MeTo be advisedClassroom LearningTGS-2020502422
Internet of Things Begins with MeTo be advisedClassroom LearningTGS-2021006687
Robotics Process Automation Begins with Me30 Aug 2024 | 9am-5.30pm Classroom LearningTGS-2020513883
Intermediate Robotics Process Automation6 Sep 2024 | 9am - 5.30pm (PC in Emerging and Disruptive Technologies)Classroom LearningTGS-2020504737
Cloud Begins with MeTo be advisedClassroom LearningTGS-2021003726
Duration 7 days

Programme Overview

This Professional Certificate in Emerging and Disruptive Technologies gives a quick overview & understanding of the various emerging and disruptive technologies and their implications in the industry. It is highly practical and relevant, applying the best industry practices in the various technologies.

Programme Objectives

This programme is designed for those who need to grasp the foundations of Cloud Computing, Cybersecurity, Blockchain, IoT, Robotic Process Automation.

At the end of the programme, the learner will be able to:

  • Equip participants with essential knowledge and skills about cloud services and how to use resources from these services;
  • Share and discuss the advantages and disadvantages of using cloud services
  • Introduce and examine the basic concepts of cloud services in terms of how to create and utilize services such as infrastructure, platform, and application as a service (IaaS, PaaS, and AaaS); and
  • Equip participants with an understanding and appreciation of the basic cloud concepts, and to apply cloud services in their work roles
  • Equip participants with knowledge and skills on how to use information technology both in the workplace and at home safely and securely.
  • Learn how to establish a secure network connection and manage personal as well as corporate data appropriately.
  • Acquire the concepts of Blockchain (BC), digital currencies (DC), and distributed ledger (DL) to apply them in their business application.
  • Understand the possible advantages of Blockchain, digital currencies, and distributed ledger (DL) while considering their applications to the businesses.
  • Design a viable implementation of BC, DC and DL, with regards to their business environment.
  • Conceptualise IoT solutions for their business cases
  • Independently create IoT proof of concept demonstrations
  • Choose the right IoT technologies for their use cases
  • Estimate the effort and resources required to roll out IoT projects
  • Understand the workflow automation
  • Understand the RPA
  • Develop their own simple bots in MS-PA environment
  • Design and development of advanced RPA macros and recordings to automate administrative tasks and web scrapping.

Who Should Attend

Executives, Managers, Engineers

Prerequisites

  • Knowledge of basic computer skills
  • Knowledge in using Internet and basic level of Microsoft Applications
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Instructors


Dr Amirhassan Monajemi

Dr Amirhassan Monajemi

Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

Dr Edmund Low

Dr Edmund Low

Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore. He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.

Mr Ang Leong Boon

Mr Ang Leong Boon

Mr Ang Leong Boon is currently the Deputy Director and Head of IT Security at NUS Information Technology, responsible for security governance, risk management, security operations, incident response and user awareness across the entire University. He has over 15 years of experience in cybersecurity, with a keen interest in security incident handling and response. During his 10 years in NUS, he has led a number of investigations for major cybersecurity incidents, including an APT attack on local universities in 2017. He has also conducted guest lectures in NUS, provided mentorship for startups with the ICE71 Accelerate Programme and spoken at various security conferences. Leong Boon is an alumnus of NUS, having graduated with a Bachelor’s Degree in Computer Engineering.

Mr Chris Liu

Mr Chris Liu

Mr Chris Liu is a cloud computing and cyber security expert. With the passion of cloud computing and security, he has helped many enterprises in the region to build up a more secure and robust IT infrastructure. Currently he is working at a world leading cloud security company as APJ Director of Transformation Architecture. He is CCIE Emeritus, holding CISSP, Azure Solution Architect Experts and other renowned certifications in the industry. Chris graduated from Telecom ParisTech and Tongji University with double master’s degrees in Computer Science and Telecommunications Engineering. In his free time, Chris loves playing tennis and spending time with his family.

A/Prof Tan Wee Kek

A/Prof Tan Wee Kek

A/Prof Tan Wee Kek is currently an Associate Professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore. He is also currently serving as an Assistant Dean (Student Life) in the School of Computing, and a Fellow and EXCO member of the NUS Teaching Academy. He graduated with a Doctor of Philosophy in Information Systems in July 2013 and a Bachelor of Computing in Information Systems (1st Class Honours) in July 2007, both from the National University of Singapore. Prior to this, he attended Singapore Polytechnic and graduated with a Diploma in Computer Information Systems with Merit in July 2001. His current primary research interests focus on consumer-based information technology (e.g., online decision aids, social computing, virtual worlds and consumer cloud services). Most of his research is based on design science, a well-established problem-solving paradigm that has been widely adopted in information systems research. His current secondary research interests focus on information systems education. His work has been published or is forthcoming in journals such as Journal of the American Society for Information Science and Technology (JASIST), Decision Support Systems (DSS), Communications of the Association for Information Systems (CAIS), and Journal of Information Systems Education (JISE). His work has also been presented or is forthcoming in conferences such as ACM SIGMIS Computer Personnel Research Conference (SIGMIS-CPR), IFIP Working Group 8.2 Working Conference (IFIP WG8.2), European Conference on Information Systems (ECIS), Americas Conference on Information Systems (AMCIS), and International Conference on Human-Computer Interaction (ICHCI). He has won the faculty level Research Achievement Award in 2013 and was a nominee for the ACM SIGMIS 2009 Magid Igbaria Outstanding Conference Paper of the Year. His current teaching interests include imparting senior undergraduate students with knowledge and skills to develop enterprise information systems as well as teaching them principles of information security management, and concepts of mobile and ubiquitous commerce. He has won the University level Annual Teaching Excellence Award for AY 2009 to 2012. In addition to this, he has also won the Faculty Teaching Excellence Award for AY 2008 to 2011 as well as the Faculty Best Teaching Assistant Award for AY 2007/2008. For his sustained commitment to teaching excellence, he has been placed on the Faculty Teaching Excellence Award Honour Roll for AY 2010/2011 and University level Annual Teaching Excellence Award Honour Roll for AY 2012/2013. He is presently the lead faculty mentor of the NUS BiZiT Society, a student special interest group on business and information technology.

Programme Fees


Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old or younger 40 years old or older
S$1,978.35 S$768.35 S$1,978.35 S$768.35 S$6,594.50
  1. Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
  2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
  3. GST shall apply at prevailing rates.

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11 Research Link
COM 3, #B1-07
Singapore 119391
Telephone: +65 6516 5523
Email: soc-ace@nus.edu.sg

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