STAT20200 Probability

Academic Year 2022/2023

This module is an introduction to probability, with examples and applications. This includes formulating a probabilistic experiment in a mathematical way, calculating probabilities of events, updating probabilities given known information and understanding the quantitative outputs of an experiment by their distributions and expected values.

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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 probability distributions. An ability to calculate and manipulate probabilities given additional information.

Indicative Module Content:

Topics covered will include: outcomes, events, and probability; independence; discrete random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability and expectation.

Student Effort Hours: 
Student Effort Type Hours
Lectures

24

Tutorial

10

Autonomous Student Learning

72

Total

106

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

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
STAT10010 - Research Methods, STAT20060 - Statistics and Probability, STAT20110 - Introduction to Probability


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Brightspace quizzes Throughout the Trimester n/a Standard conversion grade scale 40% No

30

Examination: Written examination 2 hour End of Trimester Exam No 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
Mr Ganesh Babu Tutor