Key facts
UNE unit code: MATH260
*You are viewing the 2025 version of this unit which may be subject to change in future.
- Trimester 1 - On Campus
- Trimester 1 - Online
- Armidale Campus
- Yes
- No
- No
- 6
Unit information
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Understanding probability is vital not only for mathematics and scientific modelling, but also in daily life. Probability helps us to assess and understand risk, chance and random events, uncertainty and variation, with diverse applications that range from science and research to computer gaming, sports, insurance and risk management and weather forecasting.
This unit is an introduction to probability distributions and how to apply its concepts to solve practical problems. It also lays the foundations for further studies in statistics, data science or machine learning.
Through lectures, tutorials and practical computing exercises presenting real-world problems, you will explore random variables, expected values, standard discrete and standard continuous distributions, bivariate distributions, and transformation of random variables. Extend your theoretical knowledge and fine tune technical skills that are invaluable in many sectors or prepare yourself for postgraduate studies.
Offerings
For further information about UNE's teaching periods, please go to Principal Dates.
Teaching period | Mode/location |
---|---|
Trimester 1 | On Campus, Armidale Campus |
Trimester 1 | Online |
*Offering is subject to availability
Intensive schools
There are no intensive schools required for this unit.
Enrolment rules
Notes
Online students must have access to the statistical package R
Please refer to the student handbook for current details on this unit.
Unit coordinator(s)
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Learning outcomes
Upon completion of this unit, students will be able to:
- infer outcomes using a broad theoretical and technical knowledge of probability theory and random events;
- use computer simulation to demonstrate understanding of probabilistic concepts and to to perform activities such as intractable integral calculations;
- apply knowledge of discrete and continuous random variables to solve applied probability problems; and
- use fundamental algebra and calculus skills, and computer simulations, to calculate key properties of statistical distributions and their expected values.
Assessment information
Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Title | Must Complete | Weight | Offerings | Assessment Notes |
---|---|---|---|---|
Assessment 1 | Yes | 10% | All offerings | Problem solving and equation-based assignment. Students must obtain at least 40% for the assignments overall to pass the unit. |
Assessment 2 | Yes | 10% | All offerings | Problem solving and equation-based assignment. Students must obtain at least 40% for the assignments overall to pass the unit. |
Assessment 3 | Yes | 10% | All offerings | Problem solving and equation-based assignment. Students must obtain at least 40% for the assignments overall to pass the unit. |
Assessment 4 | Yes | 10% | All offerings | Problem solving and equation-based assignment. Students must obtain at least 40% for the assignments overall to pass the unit. |
Final Examination | Yes | 60% | All offerings | Students must obtain at least 40% in the examination; at least 40% for the assignments; and obtain an overall passing grade to pass the unit. |
Learning resources
Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Note: Recommended material is held in the University Library — purchase is optional.
Mathematical Statistics with Applications
ISBN: 9780495110811
Wackerly, D., Mendenhall, W. and Scheaffer, R.L., Duxbury 7th ed. 2007
Text refers to: All offerings
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