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Course profile

Mathematical Probability (STAT2003)

Study period
Sem 1 2025
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 1, 2025 (24/02/2025 - 21/06/2025)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Mathematics & Physics School

Probability; random variables; probability distributions; Markov processes; statistical analysis & modelling

This course is about modelling, analysing andᅠunderstanding random experiments, random phenomena, uncertainty and chance, through the language ofᅠprobability theory.

STAT2003 and STAT7003 are co-badged courses and will share learning activities. Stat2003 will have some differences in assessment to evaluate students at the undergraduate level.


In the School of Mathematics and Physics we are committed to creating an inclusive and empowering learning environment for all students. We value and respect the diverse range of experiences our students bring to their education, and we believe that this diversity is crucial for fostering a rich culture of knowledge sharing and meaningful exploration. We hold both students and staff accountable for actively contributing to the establishment of a respectful and supportive learning environment.

Bullying, harassment, and discrimination in any form are strictly against our principles and againstᅠUQ Policy,ᅠand will not be tolerated. We have developed aᅠsuite of resourcesᅠto assist you in recognising, reporting, and addressing such behaviour. If you have any concerns about your experience in this course, we encourage you to tell a member of the course teaching team, or alternatively contact an SMP Classroom Inclusivity Champion (see Blackboard for contact details). Our Inclusivity Champions are here to listen, to understand your concerns, and to explore potential actions that can be taken to resolve them. Your well-being and a positive learning atmosphere are of utmost importance to us.

Course requirements

Assumed background

The course requires an understanding of calculus and algebra as covered in MATH1050 and a continuing understanding of these areas as covered in MATH1051/MATH1071. Some knowledge of matrices and multiple integration will be required in the later part of the course. Students in this courseᅠwill use Python for the simulation of random processes. A Python primer is included in the course notes

Prerequisites

You'll need to complete the following courses before enrolling in this one:

MATH1051 or MATH1071

Recommended companion or co-requisite courses

We recommend completing the following courses at the same time:

MATH2001

Incompatible

You can't enrol in this course if you've already completed the following:

STAT2001

Jointly taught details

This course is jointly-taught with:

STAT2003 and STAT7003 are co-badged courses and will share learning activities. STAT7003 will have some differences in assessment to evaluate students at Level 9 (Masters) of the Australian Qualifications Framework.

Course contact

Course staff

Lecturer

Tutor

Mr Nazeef Hamid
Mr Limao Chang
Miss Michaela Cheong
Mr Jack Cashman
Mr Weiming Liang
Mr Jack Easton
Mr Jay Parfitt

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

Practicals will start in Week 2.

All classes will be conducted on campus. Consult your personal timetable for times and locations. Students are expected to attend these sessions in person unless they have a valid reason for being unable to attend (such as illness). Alternative arrangements will be advised on Blackboard should the campus be closed for any reason. Important: if you are ill, then do not attend any classes in person. Alternative arrangements can be organised – consult Blackboard for details.

Aims and outcomes

Our goal is to introduce the most commonly used models for studying random phenomena, as well as some basic methods for analysing them. We will study probability theory, including conditional probability, the Law of Total Probability and Bayes' Law, random variables and their distributions, laws of large numbers and the Central Limit Law, and Markov chains.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Construct probabilistic models for various random phenomena

LO2.

Analyse probability models to derive quantities and properties of interest.

LO3.

Use software appropriately for simulating probability models.

Assessment

Assessment summary

Category Assessment task Weight Due date
Tutorial/ Problem Set Problem set 1 15%

28/03/2025 1:00 pm

Tutorial/ Problem Set Problem set 2 15%

28/04/2025 1:00 pm

Tutorial/ Problem Set Problem set 3 15%

26/05/2025 1:00 pm

Examination EOS Exam
  • Hurdle
  • Identity Verified
  • In-person
55%

End of Semester Exam Period

7/06/2025 - 21/06/2025

A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.

Assessment details

Problem set 1

Mode
Written
Category
Tutorial/ Problem Set
Weight
15%
Due date

28/03/2025 1:00 pm

Learning outcomes
L01, L02, L03

Task description

A problem set containing a mix of theoretical and practical exercises.

Submission guidelines

via Blackboard

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Since solutions to problem sets will be released one week after the problem set is due, the maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessments submitted late will have 10% of the mark available deducted per day (including weekends and public holidays).

Work submitted more than seven days after the due date without an approved extension will not receive a mark.

Problem set 2

Mode
Written
Category
Tutorial/ Problem Set
Weight
15%
Due date

28/04/2025 1:00 pm

Learning outcomes
L01, L02, L03

Task description

A problem set containing a mix of theoretical and practical exercises.

Submission guidelines

via Blackboard

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Since solutions to problem sets will be released one week after the problem set is due, the maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessments submitted late will have 10% of the mark available deducted per day (including weekends and public holidays).

Work submitted more than seven days after the due date without an approved extension will not receive a mark.

Problem set 3

Mode
Written
Category
Tutorial/ Problem Set
Weight
15%
Due date

26/05/2025 1:00 pm

Learning outcomes
L01, L02, L03

Task description

A problem set containing a mix of theoretical and practical exercises.

Submission guidelines

via Blackboard

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Since solutions to problem sets will be released one week after the problem set is due, the maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessments submitted late will have 10% of the mark available deducted per day (including weekends and public holidays).

Work submitted more than seven days after the due date without an approved extension will not receive a mark.

EOS Exam

  • Hurdle
  • Identity Verified
  • In-person
Mode
Written
Category
Examination
Weight
55%
Due date

End of Semester Exam Period

7/06/2025 - 21/06/2025

Learning outcomes
L01, L02

Task description

The End of Semester examination in this course will be held during the end-of-semester examination period. It will be an in-person exam held on campus. Alternative arrangements will be advised on Blackboard should the campus be closed for any reason.

You will be permitted to bring a single double-sided A4 sheet of handwritten notes into the exam. (Photocopies of handwritten sheets are not permitted.) You will need an approved calculator for use in the exam. It should either be a Casio fx-82 or have an official "Approved" label attached. Visit the site www.uq.edu.au/myadvisor/exam-calculators for a list of approved calculators and procedures for obtaining the official label.

Hurdle requirements

See ADDITIONAL COURSE GRADING INFORMATION

Exam details

Planning time 10 minutes
Duration 120 minutes
Calculator options

(In person) Casio FX82 series only or UQ approved and labelled calculator

Open/closed book Closed Book examination - specified written materials permitted
Materials

One A4 sheet of handwritten notes, double sided, is permitted

You will be permitted to bring a single double-sided A4 sheet of handwritten notes into the exam. (Photocopies of handwritten sheets are not permitted.)

Exam platform Paper based
Invigilation

Invigilated in person

Submission guidelines

Deferral or extension

You may be able to defer this exam.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Description
1 (Low Fail)

Absence of evidence of achievement of course learning outcomes.

Course grade description: The student demonstrates very limited understanding of the theory of the topics listed in the course outline above and of the basic concepts in the course material.ᅠ This includes attempts at answering some questions but demonstrating very limited understanding of the key concepts. Students will receive this grade if their final mark is less than 20%

2 (Fail)

Minimal evidence of achievement of course learning outcomes.

Course grade description: The student demonstrates limited understanding of the theory of the topics listed in the course outline above and demonstrates limited knowledge of the relevant mathematical techniques used to solve problems. This includes attempts at expressing their deductions and explanations and attempts to answer a few questions accurately. Students will receive this grade if their final mark is at least 20% but less than 45%.

3 (Marginal Fail)

Demonstrated evidence of developing achievement of course learning outcomes

Course grade description: The student demonstrates some understanding of the theory of the topics listed in the course outline above and demonstrates some knowledge of the relevant mathematical techniques used to solve problems, yet fails to satisfy all of the basic requirements for a pass. Students will receive this grade if their final mark is at least 45% but less than 50%, subject to the hurdle requirements listed below.

4 (Pass)

Demonstrated evidence of functional achievement of course learning outcomes.

Course grade description: The student demonstrates an understanding of the theory of the topics listed in the course outline above and demonstrates a knowledge of the relevant mathematical techniques used to solve problems. Students will receive this grade if their final mark is at least 50% but less than 65%, subject to the hurdle requirements listed below.

5 (Credit)

Demonstrated evidence of proficient achievement of course learning outcomes.

Course grade description: The student demonstrates a good understanding of the theory of the topics listed in the course outline above and can apply the relevant mathematical techniques to solve problems. Students will receive this grade if their final mark is at least 65% but less than 75%, subject to the hurdle requirements listed below.

6 (Distinction)

Demonstrated evidence of advanced achievement of course learning outcomes.

Course grade description: The student demonstrates a comprehensive understanding of the theory of the topics listed in the course outline above and is proficient in applying the relevant mathematical techniques to solve both theoretical and practical problems. Students will receive this grade if their final mark is at least 75% but less than 85%, subject to the hurdle requirements listed below.

7 (High Distinction)

Demonstrated evidence of exceptional achievement of course learning outcomes.

Course grade description: The student demonstrates an excellent understanding of the theory of the topics listed in the course outline above and is highly proficient in applying the relevant mathematical techniques to solve both theoretical and practical problems. Students will receive this grade if their final mark is 85% or higher, subject to the hurdle requirements listed below.

Additional course grading information

Hurdle requirements:

If you receive less that 30% of the available marks on the final examination, then the maximum grade you can obtain is 2.

If you receive less than 40% of the available marks on the finalᅠexamination, then the maximum grade you can obtain is 3.


Supplementary assessment

Supplementary assessment is available for this course.

Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply. 

Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.  

If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.  

Supplementary assessment in this course will be a 2-hour examination similar in style to the end-of-semester examination. To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment. 

Additional assessment information

Artificial Intelligence

Assessment tasks in this course evaluate students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.  

Applications for Extensions to Assessment Due Dates

Extension requests are submitted online via my.UQ – applying for an extension. Extension requests received in any other way will not be approved. Additional details associated with extension requests, including acceptable and unacceptable reasons, may be found at my.UQ.

Please note:

  • Requests for an extension to an assessment due date must be submitted through your my.UQ portal and you must provide documentation of your circumstances, as soon as it becomes evident that an extension is needed. Your application must be submitted on or before the assessment item's due date and time.
  • Applications for extension can take time to be processed so you should continue to work on your assessment item while awaiting a decision. We recommend that you submit any completed work by the due date, and this will be marked if your application is not approved. Should your application be approved, then you will be able to resubmit by the agreed revised due date.
  • If an extension is approved, you will be notified via your my.UQ portal and the new date and time for submission provided. It is important that you check the revised date as it may differ from the date that you requested.
  • If the basis of the application is a medical condition, applications should be accompanied by a medical certificate dated prior to the assignment due date. If you are unable to provide documentation to support your application by the due date and time you must still submit your application on time and attach a written statement (Word document) outlining why you cannot provide the documentation. You must then upload the documentation to the portal within 24 hours.
  • If an extension is being sought on the basis of exceptional circumstances, it must be accompanied by supporting documentation (eg. Statutory declaration).
  • For extensions based on a SAP you may be granted a maximum of 7 days (if no earlier maximum date applies). See the Extension or Deferral availability section of each assessment for details. Your SAP is all that is required as documentation to support your application. However, additional extension requests for the assessment item will require the submission of additional supporting documentation e.g., a medical certificate. All extension requests must be received by the assessment due date and time.
  • Students may be asked to submit evidence of work completed to date. Lack of adequate progress on your assessment item may result in an extension being denied.
  • If you have been ill or unable to attend class for more than 14 days, you are advised to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty - seek advice from the Faculty that administers your program.
  • There are no provisions for exemption from an assessment item within UQ rules. If you are unable to submit an assessment piece then, under special circumstances, you may be granted an exemption, but may be required to submit alternative assessment to ensure all learning outcomes are met.

Applications to defer an exam

In certain circumstances you can apply to take a deferred examination for in-semester and end-of-semester exams. You'll need to demonstrate through supporting documentation how unavoidable circumstances prevented you from sitting your exam. If you can’t, you can apply for a one-off discretionary deferred exam.

Deferred Exam requests are submitted online via mySi-net. Requests received in any other way will not be approved. Additional details associated with deferred examinations, including acceptable and unacceptable reasons may be found at my.UQ.

Please note:

  • Applications can be submitted no later than 5 calendar days after the date of the original exam.
  • There are no provisions to defer a deferred exam. You need to be available to sit your deferred examination.
  • Your deferred examination request(s) must have a status of "submitted" in mySI-net to be assessed.
  • All applications for deferred in-semester examinations are assessed by the relevant school. Applications for deferred end-of-semester examinations are assessed by the Academic Services Division.
  • You’ll receive an email to your student email account when the status of your application is updated.
  • If you have a medical condition, mental health condition or disability and require alternative arrangements for your deferred exam you’ll need to complete the online alternative exam arrangements through my.UQ. This is in addition to your deferred examinations request. You need to submit this request on the same day as your request for a deferred exam or supplementary assessment. Contact Student Services if you need assistance completing your alternative exam arrangements request.


Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Find the required and recommended resources for this course on the UQ Library website.

Additional learning resources information

Slides used and notes written during lectures will be made available via Blackboard.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Lecture

Week 1 Lecture

Probability and counting

Learning outcomes: L01, L02

Practical

Week 2 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 2 Lecture

Conditional probability and independence; Random variables

Learning outcomes: L01, L02

Practical

Week 3 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 3 Lecture

Distributions; Expectations; Transforms (PGF and MGF)

Learning outcomes: L01, L02

Practical

Week 4 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 4 Lecture

Common distributions

Learning outcomes: L01, L02

Practical

Week 5 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 5 Lecture

Simulating random variables

Learning outcomes: L02, L03

Practical

Week 6 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 6 Lecture

Joint and conditional distributions

Learning outcomes: L01, L02

Practical

Week 7 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 7 Lecture

Conditional expectation; Functions of random variables

Learning outcomes: L01, L02

Practical

Week 8 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 8 Lecture

Random vectors; Functions of random vectors

Learning outcomes: L01, L02

Practical

Week 9 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 9 Lecture

Jointly normal random variables

Learning outcomes: L01, L02

Practical

Week 10 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 10 Lecture

Limit theorems

Learning outcomes: L01, L02

Practical

Week 11 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 11 Lecture

Markov chains

Learning outcomes: L01, L02, L03

Practical

Week 12 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 12 Lecture

Reliability

Learning outcomes: L01, L02, L03

Practical

Week 13 Practical

Learning outcomes: L01, L02, L03

Lecture

Week 13 Lecture

Revision

Learning outcomes: L01, L02, L03

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.