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This module aims to provide students with practical knowledge in intelligent system design and development. The module equips the students to develop competencies in intelligent agents, machine learning, and deep learning techniques for solving the advance real-world applications.
This module aims to provide students with the core theoretical and practical background required for using machine learning techniques for big data analytics and developing largescale intelligent algorithms for big data systems.
This module aims to provide you with the core theoretical, conceptual and practical understanding of Blockchain and Financial Technologies. It covers the technological underpinnings of blockchain operations as distributed data structures and decision-making systems. You will learn about their functionality and architecture types. It provides a critical evaluation of existing “smart contract” capabilities and platforms, and examines their future directions, opportunities, risks and challenges in their application and adoption.