EE3001 - Foundations of Data Engineering

Offering Academic Unit
Department of Electronic Engineering
Credit Units
Course Duration
One Semester
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 2018/19

* 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 probability and statistical techniques used in data engineering.

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 30% in coursework and 30% in the examination.
Detailed Course Information


Useful Links

Department of Electronic Engineering