DASE7502 Advanced Robot sensing and intelligence [Section 1A, 2025]
DASE7501 Robot modelling, planning and control [Section 2B, 2025]
DASE7501 Robot modelling, planning and control [Section 1A, 2025]
DASE7341 Technology innovation and entrepreneurship [Section 2B, 2025]
DASE7341 Technology innovation and entrepreneurship [Section 1A, 2025]
DASE7251 Fundamentals of law for logistics [Section 2B, 2025]
DASE7251 Fundamentals of law for logistics [Section 2A, 2025]
DASE7222 Decision analytics in global logistics [Section 2B, 2025]
DASE7154 Intelligent technologies for systems engineering A [Section 2A, 2025]
DASE7150 Frontiers in data and systems engineering A [Section 1A, 2025]
DASE7143 The internet of things [Section 2A, 2025]
This course aims to provide students with an in-depth introduction to the Internet-of-Things (IoT) and its applications to Industrial Engineering. It will cover some basic concepts and technologies such as IoT network architecture, sensors and devices, IoT communication techniques, wireless sensor networks, edge computing, embedded systems, cloud computing, data analytics, distributed computing, control, privacy and security, etc. The applications of IoTs will also be discussed
DASE7143 The internet of things [Section 1A, 2025]
This course aims to provide students with an in-depth introduction to the Internet-of-Things (IoT) and its applications to Industrial Engineering. It will cover some basic concepts and technologies such as IoT network architecture, sensors and devices, IoT communication techniques, wireless sensor networks, edge computing, embedded systems, cloud computing, data analytics, distributed computing, control, privacy and security, etc. The applications of IoTs will also be discussed
DASE7142 Advanced computational methods [Section 2B, 2025]
This course focuses on numerical techniques for complex engineering problems, bridging the gap between theory and practical implementation. You will develop key skills, including algorithm understanding and implementation, computational efficiency and optimization, error analysis, numerical stability, and problem-solving through computational methods.