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EE4146 - Data Informatics and Learning Systems

Offering Academic Unit
Department of Electronic Engineering
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)

MA3001 Differential Equations
or
EE2203 Modelling Techniques
or
MA3150 Advanced Mathematical Analysis
or
MA3151 Advanced Engineering Mathematics
or
MA2184 Discrete Mathematics for Computing
or
MA2185 Discrete Mathematics
or
MA3160 Probability and Stochastic Processes

Equivalent Course(s)
Course Offering Term*:
Semester B 2017/18
Semester B 2018/19 (Tentative)

* 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: 40%
Examination: 60%
Examination Duration: 2 hours
Remarks: To pass the course, students are required to achieve at least 30% in coursework and 30% in the examination. Also, 75% laboratory attendance rate must be obtained.
 
Detailed Course Information
EE4146.pdf

Useful Links
Department of Electronic Engineering