Introduction
In this unit, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn 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 data sets relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.
Summary
| Unit name | Data and Analysis |
| Unit code | ZAB114 |
| Credit points | 12.5 |
| College/School | University College |
| Discipline | Pathways |
| Coordinator | Mr Robert Lewis |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Introductory |
Sustainable Development Goals
The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.
Availability
Specific information on 2027 unit availability will be available in August
Learning Outcomes
- Describe how data are handled and analysed to support decision making.
- Select and apply data analysis and presentation methods to generate evidence that supports decision-making.
- Interpret and communicate evidence generated from mathematical and statistical analyses.
- Critically reflect on own technical practice and discipline knowledge to generate plans for self-development.
Fee Information
2027 fee information will be available in August.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
ZAB103|ZAB234|ZAS103|ZAS113Teaching
| Teaching Pattern | Weekly online 1 to 2 hour tutorial; 1 x half day online workshop per semester. Optional field trips may be offered. |
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| Assessment | AT1: Exploring Data as Evidence (20%)|AT2: Report: Data Analysis (35%)|AT3: Presentation: Communicating Data for Decision Making, with Peer Feedback (45%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.