This course provides students with the advanced knowledge of the analysis, design and control methods applied to random signals and random packets arising in communication systems. Students will also gain advanced theoretical and practical skills in processes that are governed by probabilistic laws, and how stochastic models of such processes can be applied in practice.
CILO
On Completion of this course, the learner will be able to
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Learning Outcome Description
1
Demonstrate advanced knowledge of theories and concepts related to functions of random processes.
2
Apply and deploy established stochastic modelling approaches to accurately analyse and solve engineering problems.
3
Critically evaluate, identify and interpret relevant properties of models based on stochastic processes and solve problems related to such models.
Requisites
Pre Requisite: EN6914 and EN6010
Examinations
Assessment Type Examination (Unseen)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type Problem sheet
The institute reserves the right to alter the nature and timings of assessment
Affiliated Entities
Entity Code
Entity Title
Entity Version
Entity Type
ENT6060
Diploma of Engineering Technology (Communications and Networks)
1
Programme
ENT7060
Associate Degree in Engineering Technology (Communications and Networks)
1
Programme
ENT8060
Bachelor of Engineering Technology (Communications and Networks)
2
Programme
No Code Yet
Copy Of Associate Degree in Engineering Technology (Communications and Networks)
