12832 (v.2) Probability Theory and Random Processes 303

Area:

Department of Electrical and Computer Engineering

Contact Hours:

4.0

Credits:

25.0

Lecture:

1 x 3 Hours Weekly

Tutorial:

1 x 1 Hours Weekly

Prerequisite(s):

    12708 (v.2) Linear Systems 201 or any previous version
    OR
    302502 (v.1) Signal Processing 204 or any previous version
AND
    12709 (v.2) Mathematics 277 or any previous version
    OR
    302980 (v.1) Mathematics 275 or any previous version

Axioms of probability theory. Probability measures. Conditional probability and statistical independence. Random variables. Probability density and distribution functions. Expectation and moment generating functions. Random processes. Stationarity. Correlation functions and power spectra. Wiener-Kinchin relations, response of linear systems. Statistical models. Methods of estimation. Confidence intervals and testing. Finite Markov chains. Decision theory. Applications of probability theory and stochastic processes in engineering.

Availability

Year	Location	Period	Internal	Area External	Central External
2003	Bentley Campus	Semester 1	Y
2003	Miri Sarawak Campus	Semester 2	Y

- Area External refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
- Central External refers to external course/units run through the Curtin Bentley-based Distance Education Area.

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