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Unit 1312 Periods Allocated

New Trends & Future Directions

Explores emerging digital frontiers like AI, Machine Learning, Agent Technologies, and Quantum Computing.

Syllabus Competency Mappings

Level 13.1Competency Level

Explores new trends and future directions in computing.

Key Topics:
  • Artificial Intelligence (AI)
  • Machine learning, neural networks
  • Man-machine coexistence

A/L ICT Competency Study Guide

1. Artificial Intelligence & Machine Learning

  • Artificial Intelligence (AI): The broad simulation of human intelligence processes by machines, especially computer systems.
  • Machine Learning (ML): A subset of AI that allows software systems to learn from data patterns and make predictions without being explicitly programmed.

2. Quantum Computing Basics

Quantum computers utilize the principles of quantum mechanics to process data at extreme speeds:

  • Qubit (Quantum Bit): Unlike a standard binary bit (which is strictly 0 or 1), a qubit can represent 0, 1, or both states simultaneously.
  • Superposition: The ability of a quantum system to exist in multiple states at the same time, expanding computation vectors.
  • Entanglement: A link between qubits where the state of one instantly influences the state of another, enabling massive parallel calculations.

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Learn this unit in class

Teran Subasinghe (UK QTS) teaches all 14 units from the basics, with unit tests along the way. Physical classes in Nugegoda and Bambalapitiya, or live online from anywhere in Sri Lanka.

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