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Short Course

Blockchain, Digital Currencies, and Distributed Ledgers Starts from Here

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
To be advised2Synchronous e-LearningTGS-2020503102

Course Overview

Nowadays, Blockchain is a buzz word in a diverse set of businesses including, but not limited to, banking, social services, insurance, government, supply chain, and media. They are all interested in the way this distributed database facilitates reliable, online exchange of values.

It is claimed that Blockchain is a trustable, fast, and transparent database system, that underpins cryptocurrencies such as BitCoin, and inspires similar but more controllable distributed ledgers (DL).

Therefore, understanding the definition, concepts, applications, advantages, and disadvantages of those three related terms would be of importance for the businesses now, and will be an urgent need in the near future.

Different analyses suggest that Blockchain-based operations will increase in many businesses during the 2020’s, therefore, understanding and mastering Blockchain would be a necessary skill for managers and technical stuff now on.

The topic is rather new, vastly innovative, technically rather complicated, and mixed with myths and baseless believes, that makes it necessary for it to be taught and addressed comprehensively and subtly, what this course is designed for.

This course is part of Professional Certificate in Emerging and Disruptive Technologies.

Course Objectives

The programme aims to equip learners with the knowledge and skills to:

  • Acquire the concepts of Blockchain, digital currencies, and distributed ledger and apply them in their businesses.
  • Understand the possible advantages of Blockchain, digital currencies, and distributed ledger while considering their applications to the businesses.
  • Design a viable implementation of Blockchain, digital currencies, and distributed ledger with regards to their business environment.

At the end of the programme, the participants will be able to:
• Understand the concepts of Blockchain, digital currencies, and distributed ledgers.
• Understand the diverse applications of Blockchain technology.
• Differentiate between the application of Blockchain and distributed ledgers.
• Identify the risks and hazards of Blockchain, digital currencies, and distributed ledgers, including security, economic, and social.
• Apply the concepts of Blockchain, and distributed ledgers to their business contexts.
• Describe how digital currencies (e.g. BitCoin) work.
• Understand the impacts of digital currencies and smart contracts on the economy.
• Predict the future trends of Blockchain, digital currencies, and distributed ledgers.

Who Should Attend

Senior to mid-level managers, advisory staff, CEOs and entrepreneurs who are interested in the digital economy.

Prerequisites

Knowledge in using the Internet and a basic level of Excel.

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This programme is part of

  • Professional Certificate in Emerging and Disruptive Technologies

    • Types of Available Fundings

  • SkillsFuture Funding
  • SkillsFuture Credit
  • Enhanced Training Support
  • SFEC
  • UTAP
  • PSEA

    • 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.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Programme Fee S$1,700.00 S$1,700.00 S$1,700.00 S$1,700.00 S$1,700.00
    Less: SSG Grant Amount S$1,190.00 S$1,190.00 S$1,190.00 S$1,190.00 -
    Nett Programme Fee S$510.00 S$510.00 S$510.00 S$510.00 S$1,700.00
    9% GST on Nett Programme Fee S$45.90 S$45.90 S$45.90 S$45.90 S$153.00
    Total Nett Programme Fee Payable, Including GST S$555.90 S$555.90 S$555.90 S$555.90 S$1,853.00
    Less Additional Funding - S$340.00 - S$340.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$555.90 S$215.90 S$555.90 S$215.90 S$1,853.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Other Information

    This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

    Advanced Computing for Executives

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

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