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EE4146 - Data Engineering and Machine Learning

Offering Academic Unit
Department of Electrical Engineering
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
(MA3001 or EE3121) or EE3001 or (MA3160 or EE3331)
Pre-cursor(s)
Course Offering Term*:
Semester B 2024/25

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

This course aim is to introduce the concept, techniques and fundamental background to informatics and learning systems.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
To pass the course, students are required to achieve at least 30% in course work and 30% in the examination.
 
Detailed Course Information
EE4146.pdf