Hobart, Launceston, Cradle Coast
In this unit, you will be introduced to mathematical and statistical methods that support informed decision-making and solutions design based on analysis of scientific, business or technical data. You will explore why data is needed to make decisions, how data are collected, analysed, interpreted and presented, and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your area of specialisation, you will learn how to apply mathematical and statistical approaches to solve practical problems and present solutions using data and statistical analyses as evidence.
This unit also incorporates learning through practice by exposing you to authentic learning experiences. These experiences are placed at the centre of learning and assessment, for you to develop the skills, knowledge and behaviours necessary to respond to industry, community and/or global needs.
You will be introduced to:
- a range of methods, tools, techniques and approaches to practice
- principles and perspectives such as values, ethics, empathy and leadership in real world scenarios
- reflection and deliberative thinking as a means of developing knowledge, skills, attitudes and aspirations
- ways of understanding problems and developing solutions through active inquiry
|Unit name||Applied Maths|
|Available as student elective?||No|
|Location||Study period||Attendance options||Available to|
|Cradle Coast||Term 2||On-Campus||Domestic|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
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|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2019.
1. Identify and describe data-driven mathematical and statistical problems and solutions in business, science and technology fields
2. Apply data handling and statistical approaches to solve practical problems
3. Interpret and communicate mathematical and statistical-based solutions relevant to your industry or discipline
|Band||CSP Student Contribution||Field of Education|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
AT1: Exploring data as evidence (20%)
AT2: Case study: Report (45%)
AT3: Case study: Presentation (35%)
|Timetable||View the lecture timetable | View the full unit timetable|
Booktopia textbook links
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.