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ModsBG4104

Machine Learning Optimisation For Bioengineers

Current offering — AY2026/2027 Semester 1

The aims of this course are multifaceted and designed to provide students with a deep and practical understanding of AI in healthcare. Firstly, the course aims to offer a comprehensive understanding of AI applications within the healthcare sector, delving into its potential benefits, limitations, and the necessary ethical considerations. Additionally, students will be familiarized with the practical use and integration of AI tools and technologies within various healthcare systems and processes, ensuring they are well-equipped to apply these advancements in real-world scenarios. A significant focus will also be placed on developing critical thinking and problem-solving skills, particularly in the context of AI applications in healthcare, enabling students to tackle complex challenges effectively. Lastly, the course emphasizes instilling a strong sense of ethical responsibility and awareness, ensuring that students recognize and uphold the ethical standards required when implementing AI in healthcare settings.

Total hours per week: 2 hrs

AUs3.0 AUs
Grade Type
PrerequisiteCB0494
Exam

Prerequisite Graph

BG4104

Machine Learning & Optimisation For Bioengineers

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Available Indexes

MonTueWedThuFri
1330

COMMON LEC (LE)

1330-1520 Fri

LT4

1400
1430
1500

Other offerings

AY25/26
Semester 1Semester 2Sp. Term
AY24/25
Semester 1Semester 2Sp. Term

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