Unit

School Of Computer, Data And Mathematical Sciences

Probabilistic Models and InferenceWestern Sydney University Unit Code: 301250.1

Discipline: STATISTICS

Student Contribution Band: 2

Level: 3

Credit Points: 10

Co ordinator
Oliver Obst


Assumed Knowledge
Probability, Linear Algebra, Basic Programming


Prerequisite
301107 Analytics Programming AND 301108 Thinking About Data OR 300700 Statistical Decision Making

Teaching Periods
Nothing on offer.

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About this Unit
The unit provides students with an understanding of probabilistic models and inference. It covers model-based approaches for complex systems – from constructing these models to applying information to models. The models, which can be created manually and obtained by learning from data, will also be useful to make decisions under uncertainty. A variety of models and techniques will be discussed; examples include Monte Carlo Methods, Decision Theory, Bayesian networks, Markov networks, and the use of information theory.


Courses
2743.11Bachelor of Science/Bachelor of LawsCURRENT
3754.1Bachelor of ScienceCURRENT
3756.1Bachelor of Science (Pathway to Teaching Primary/Secondary)CURRENT
3757.1Bachelor of Advanced ScienceCURRENT
3763.1Bachelor of Science/Bachelor of ArtsCURRENT
3764.1Bachelor of Science/Bachelor of International StudiesCURRENT
3769.1Bachelor of Data ScienceCURRENT
4748.3Bachelor of Science/Bachelor of BusinessCURRENT
6043.1Diploma in Science/Bachelor of ScienceCURRENT


Specialisations

MT3032.1Data ScienceCURRENT




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