Unit

School Of Computer, Data And Mathematical Sciences

Probabilistic Models and InferenceWestern Sydney University Unit Code: 301250.1

Discipline: STATISTICS

Student Contribution Band: 1

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 LawsCONTINUING
3754.1Bachelor of ScienceCONTINUING
3756.1Bachelor of Science (Pathway to Teaching Primary/Secondary)CONTINUING
3757.1Bachelor of Advanced ScienceCONTINUING
3763.1Bachelor of Science/Bachelor of ArtsCONTINUING
3764.1Bachelor of Science/Bachelor of International StudiesCONTINUING
3769.1Bachelor of Data ScienceCONTINUING
3769.2Bachelor of Data ScienceCURRENT
3778.1Bachelor of MathematicsCURRENT
4656.3Bachelor of Health ScienceCURRENT
4741.2Bachelor of Sport DevelopmentCURRENT
4742.1Bachelor of Health Science (Health and Physical Education)-Pathway to Teaching (Secondary)CURRENT
4747.2Bachelor of Health Science (Health and Physical Education)CURRENT
4748.3Bachelor of Science/Bachelor of BusinessCONTINUING
6000.2Diploma in Health Science/Bachelor of Health ScienceCURRENT
6043.1Diploma in Science/Bachelor of ScienceCONTINUING


Specialisations

MT3032.1Data ScienceCONTINUING
MT3038.1Data ScienceCURRENT
SM4008.1Exercise ScienceCURRENT




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