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EE3001 - Foundations of Data Engineering

Offering Academic Unit
Department of Electronic Engineering
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
A-Level Pure Mathematics, or
A-Level Applied Mathematics, or
MA1201 Calculus and Basic Linear Algebra II, or
MA1301 Enhanced Calculus and Linear Algebra II
Course Offering Term*:
Semester B 2017/18

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

The aim of this course is to provide students with an understanding of the basic techniques used in data engineering and give introductory examples to how these techniques are applied to more advanced data engineering applications.

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

Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
To pass the course, students are required to achieve at least 35% in course work and 35% in the examination.
 
Detailed Course Information

EE3001.pdf

Useful Links

Department of Electronic Engineering