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EE3331 - Probability Models in Information Engineering

Offering Academic Unit
Department of Electrical Engineering
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2021/22

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

This course introduces probability models and their applications to major areas of information engineering, including digital communications and computer networks. The aims are to elucidate the fundamental concepts of probability theory through examples, to explain the principles of Bayesian decision methods and queueing analysis, and to develop the ability of students in solving problems with randomness and uncertainty. This course is project-based, which provides hands-on experience to students and conveys the relevance and usefulness of probability and stochastic processes to practical engineering problems that undergraduate students can appreciate.

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

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
Remark: To pass the course, students are required to achieve at least 30% in coursework and 30% in the examination.
 
Detailed Course Information

EE3331.pdf

Useful Links

Department of Electrical Engineering