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Module Detailed Information for [EE5137]
Academic Year : 2017/2018 Semester : 1
Correct as at 30 Sep 2017 13:30

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Module Information
Module Code :
Module Title : Stochastic Processes
Module Description : This module is designed to serve as an advanced course in stochastic processes for research students specializing in communications and networks as well as other research areas that deal intensively with stochastic signal analysis and processing. Topics include: concepts and classification of stochastic processes; special processes (binary transmission, telegraph, random walk, Wiener-Levy, Poisson); transmission of stochastic processes through systems; stochastic integrals and ergodicity; bandlimited processes; Gaussian processes; Markov processes; Markov chains; counting processes. These topics will be treated with sufficient mathematical rigour so that students will learn various statistical concepts and their inter-relationships in the way of a connected theory.
Module Examinable : -
Exam Date : 28-11-2017 PM
Modular Credits : 4
Pre-requisite : Nil
Preclusion : EE5306, EE5137R
Module Workload (A-B-C-D-E)* : 3-0-0-3-4
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
No Tutorial Class or to be announced. Please check with the department offering this module.

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