STAT20110 Probability Theory

Academic Year 2020/2021

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:

An ability to understand the origins and development of probability theory. An ability to appropriately use many of the classic discrete and continuous probability distributions. An appreciation and ability to use the law of averages and the central limit theorem.

Indicative Module Content:

Student Effort Hours: 
Student Effort Type Hours
Lectures

30
Small Group

6
Tutorial

10
Autonomous Student Learning

77
Total

123
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 familar with integration and differentiation.


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


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Continuous assessment Unspecified n/a Standard conversion grade scale 40% No

30
Examination: Written examination 2 hour End of Trimester Exam Yes Standard conversion grade scale 40% No

70

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
Iuliia Promskaia Tutor