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Overview

The analysis of scientific, engineering, and economic data makes extensive use of probability models. In this subject, you will learn the most basic of these models and their properties. More specifically, you will learn a wide range of discrete and continuous univariate distributions; joint distributions; conditional expectation; mean and variance … For more content click the Read more button below.

Portfolio

Office of the Provost

Subject coordinator

Nadiya Kosytsina

Subject type

Undergraduate

Year level

Year Level 2 - UG

AQF level

Level 6 - Advanced Diploma

Available as elective

Yes

Available to study abroad / exchange students

Yes

Capstone subject

No

Academic progress review - Schedule A subject

No

Subject instances

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Career ready

Work based learning (placement):No

Graduate capabilities

DISCIPLINE KNOWLEDGE AND SKILLS

Subject intended learning outcomes

On successful completion you will be able to:
1.
Solve problems when randomness is involved
2.
Demonstrate mathematical calculations to investigate numerical properties of probability models
3.
Derive some basic probability results in selected areas of application
4.
Test the validity of different probability models
5.
Demonstrate understanding by solving probability problems using both words and precise mathematical symbols.