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This is an introductory graduate‐level course in computer networking. The course covers core concepts and major design and implementation techniques for large‐scale computer networks at the application, transport, network

This course introduces more advanced neural network models, with applications of image and video data. Explore the concept of generative AI (artificial intelligence), as well as adversarial machine learning in computer vision.

To impart essential cybersecurity knowledge and skills to enterprises aspiring to achieve CSA’s Cyber Essentials certification.

Good customer experience can bring good business value. Nowadays, Customer Experience (CX) is getting more and more attention, marketing through CX strategy has become one of the top skills that marketers must master. CX Research can help you better understand customers as well as introduce products and services; thus improve customer loyalty.

Cybersecurity Architecture is the design artifacts that describe how the security controls are positioned and how they relate to the overall systems architecture.

This fundamental course provides you with an understanding of the cybersecurity landscape and challenges in the aviation sector, as well as key foundations in cybersecurity concepts, controls and tools to ensure the safety, security and continuity of civil aviation operations.

This course seeks to transform businesses by equipping senior executives, managers and professionals with strategic knowledge and practical skills to integrate design, Artificial Intelligence (AI) and technology into their organisations. Participants will leverage on data-driven decision-making and apply human-centric design principles to drive innovation, boost efficiency and gain a competitive edge — all of which are necessary for organisation’s long-term success in an evolving digital landscape.

Application of data analytics in semiconductor industry and analysis of large industrial data contribute to improved operational efficiency and business processes. This course equips participants with knowledge about applications of data analytics in the field of yield and reliability analysis in semiconductor devices/systems.

Get a comprehensive understanding of the characteristics of big data and practical hands-on experience in data exploration using Python. The course emphasises accessing data via APIs (Application Programming Interface) and converting common file formats into suitable data formats for analysis.

With hands-on practice in data preparation using Python, this course emphasises the importance of data types, sizes, and encoding, and covers data structuring with arrays and DataFrames.