Courses & Units

Data and Analysis ZAB114

Hobart, Launceston, Cradle Coast

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 case studies relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.

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

Unit name Data and Analysis
Unit code ZAB114
Credit points 12.5
Faculty/School University College
Discipline Agribusiness
Coordinator

Suzie Jones

Available as student elective? Yes
Breadth Unit? No

Availability

Location Study period Attendance options Available to
Hobart Semester 1 On-Campus Domestic
Hobart Semester 2 On-Campus Domestic
Launceston Semester 1 On-Campus Off-Campus International Domestic Domestic
Launceston Semester 2 On-Campus Off-Campus Domestic Domestic
Cradle Coast Semester 1 On-Campus Domestic
Cradle Coast Semester 2 On-Campus Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

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.

Key Dates

Study Period Start date Census date WW date End date
Semester 1 22/2/2021 23/3/2021 12/4/2021 30/5/2021
Semester 2 12/7/2021 10/8/2021 30/8/2021 17/10/2021

* 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).

About Census Dates

Learning Outcomes

1. Describe how data are handled and analysed to support decision making in business, science, and technology disciplines

2. Select and apply data analysis and presentation methods to generate evidence that supports decision-making

3. Interpret and communicate evidence generated from mathematical and statistical approaches

4. Critically reflect on own technical practice and discipline knowledge to generate plans for self-development

Fees

Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
020307 $993.00 $993.00 not applicable $2,402.00

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to this page to get an indicative course cost.

Requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

ZAS113 Applied Maths

Teaching

Teaching Pattern

Weekly online tutorials and three online half-day workshops per semester.

Assessment

At1: Exploring Data as Evidence (20%)

AT2: Report: Data Analysis (35%)

AT3: Presentation: Communicating Data for Decision Making with Peer Feedback (45%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone
LinksBooktopia textbook finder

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.