Topic outline

  • General

    • Emerging Technologies 2022


    • On completion of this module the candidate will be able to:

        Unit 1 - Artificial Intelligence
        • Define Artificial Intelligence and recognise the stages and development milestones
        • Understand how AI works, including the key principles underpinning AI
        • Define the terms machine learning, neural network, and deep learning and the characteristics of each
        • Identify the need for AI and recognise examples of how AI supports data mining, natural language processing, and decision making
        • Recognise the limits, ethical guidelines, social and economic impact, as well as the potential and implications of AI
        Unit 2 - Internet of Things
        • Understand key concepts relating to Internet of Things (IoT), including common structure and requirements
        • Recognise examples of consumer, commercial, industrial, and infrastructural applications of IoT
        • Identify current trends in IoT, including the evolution of IoT components and the important role played by governance.
        • Understand ethical, security, and interoperability considerations around adoption of IoT, and consider how IoT could be implemented in a given scenario
        • Consider appropriate solutions and models for implementing cloud computing in a given scenario or situation
        Unit 3 - Big Data
        • Understand the term big data and its evolution, and recognise drivers behind its expansion
        • Recognize key aspects of big data relating to storage technologies, analysis, and visualisation
        • Recognise examples of big data implementation in a range of sectors
        • Identify considerations for adoption of big data, including investment, practical challenges, business potential, and ethical issues
        • Recognise steps for exploiting big data in a specific scenario or situation
        Unit 4 - Cloud Computing
        • Understand key concepts relating to cloud computing
        • Recognise the features, benefits, examples, and limitations of Infrastructure as a Service (IaaS)
        • Recognise the features, benefits, limitations and provide examples of Platform as a Service (PaaS)
        • Recognise the features, benefits, limitations and provide examples of Software as a Service (SaaS)
        • Identify features and examples of Function as a Service (FaaS)
        • Know about the different models for implementing cloud computing in organisations
        • Consider appropriate solutions and models for implementing cloud computing in a given scenario or situation.

      Syllabus

      The Syllabus sets out the specific knowledge and skills that make up this module, as informed by input from subject matter experts from a wide range of computer societies and organisations.

      Download the Emerging Technologies 2022 Syllabus (PDF)