Hobart, Launceston, Cradle Coast
This unit has been discontinued.
Introduction
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
Summary 2020
| Unit name | Applied Maths |
|---|---|
| Unit code | ZAS113 |
| Credit points | 12.5 |
| Faculty/School | University College |
| Discipline | Applied Science |
| Coordinator | Christopher Mabin |
| Available as student elective? | No |
| Breadth Unit? | No |
Availability
Note
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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.
Special approval is required for enrolment into TNE Program units.
TNE Program units special approval requirements.
* 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).
Learning Outcomes
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
Fees
Teaching
| Teaching Pattern |
|
|---|---|
| Assessment | 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 |
Textbooks
| Required | None |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.