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SYE8029P - Data Analysis and Artificial Intelligence for Systems Engineering

Offering Academic Unit
Department of Systems Engineering
Credit Units
3
Course Duration
One Semester
Course Offering Term*:
Semester A 2026/27

* The offering term is subject to change without prior notice
 
Course Aims

As one of the most popular disciplines in recent years, data-driven Artificial Intelligence (AI), particularly machine learning-based approaches, is gradually transforming nearly all industries, such as domain of the engineering management Advances in artificial intelligence, such as deep learning methods, are widely employed in many engineering industries for data analysis and research. Therefore, for those who wish to join the waves of AI, this course covers fundamental but comprehensive concepts and the ability to integrate machine learning and data analytics into smart manufacturing processes. In addition, the course will help students to explore the application of AI, python coding and other advanced technologies in manufacturing and operations.This course will construct a solid foundation for more advanced courses in engineering, marketing, finance, economics, and more advanced data science, deep learning, and AI.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 100%
Examination Duration: 0 hours
Min. Continuous Assessment Passing Requirement: 30%
 

For a student to pass the course, at least 30% of the maximum mark for the continuous assessment should be obtained.


 
Detailed Course Information

SYE8029P.pdf