STAT20110 Introduction to Probability

Academic Year 2024/2025

This module is an introduction to probability, with examples and applications. Topics covered will include: outcomes, events, and probability; independence; random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability; continuous distributions; law of averages; central limit theorem.

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Curricular information is subject to change

Learning Outcomes:

Knowledge and understanding of the subject.

Indicative Module Content:

Topics covered will include: outcomes, events, and probability; independence; random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability; continuous distributions; law of averages; central limit theorem.

Student Effort Hours: 
Student Effort Type Hours
Lectures

36
Tutorial

10
Autonomous Student Learning

72
Total

118
Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning. 
Requirements, Exclusions and Recommendations
Learning Recommendations:

Desirable to already have taken a basic course in Statistics and be familiar with integration and differentiation.


Module Requisites and Incompatibles
Incompatibles:
STAT10010 - Research Methods, STAT10140 - Research Methods for Science, STAT20060 - Statistics and Probability, STAT20200 - Probability


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade

Not yet recorded.

Carry forward of passed components
No
 
Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr Ganesh Babu Tutor
Iuliia Promskaia Tutor