Probability

Undergraduate | 2026

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Area/Catalogue
STAT X200
Course ID icon
Course ID
208188
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

The aim of this course is to introduce probability theory, random variables, and basic stochastic processes. Probability is the branch of mathematics that deals with modelling uncertainty with important applications in all areas of science, engineering, economics, and everyday life. It also forms the fundamental basis for many other areas in the mathematical sciences including statistics, optimisation, stochastic processes, risk modelling, decision making, machine learning and AI.

  • Random Variables
  • Joint Distributions

Course learning outcomes

  • Translate real-world problems from verbal descriptions into probability models
  • Explain the common named discrete and continuous random distributions and apply them to modelling situations
  • Apply the formal rules of probability, conditional probability and independence to calculate probabilities and expectations
  • Demonstrate understanding of probablistic limit laws and apply them to relevant situations
  • Understand how joint distributions encode the behaviour of multiple random variables and exploit this for modelling and analysis of problems

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A