Courses & Units

Data Handling and Management ZAT211

Hobart, Launceston, Cradle Coast

Introduction

This unit explores the processes used for data collection, analysis, representation and interpretation related to industry relevant data and decision making. Data-based decision-making enables problem solving and innovation to be achieved in industry. You will explore approaches that underpin data-informed decision-making using practical examples. You will engage in collecting, compiling, analysing, interpreting and evaluating data and information. This unit will draw upon the skills and knowledge that you have acquired during the course.

This unit builds on concepts of learning through practice in Year 1 of study by introducing you to more complex learning experiences.

You will be introduced to:

- discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences

- concepts of managing effective relationships and communicating with others

- the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice- the nature of responsible, accountable and reflective workplace skills, and creative and critical thinking relevant to para-professional practice.

You will exercise self-awareness, initiative and judgement to manage yourself and professional relationships effectively.  The application of tacit knowledge and capabilities will be reflected in a Practice Manual

Summary

Unit name Data Handling and Management
Unit code ZAT211
Credit points 12.5
Faculty/School University College
Discipline Applied Technologies
Coordinator

Jodie Lee

Available as student elective? No
Breadth Unit? No

Availability

Location Study period Attendance options Available to
Hobart Term 1 On-Campus Domestic
Launceston Term 1 On-Campus Domestic
Cradle Coast Term 1 On-Campus Domestic

Key

On-campus
Off-Campus
International students
Domestic students
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.

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Key Dates

Study Period Start date Census date WW date End date
Term 1 3/2/2020 24/2/2020 31/5/2020 9/4/2020

* 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.

About Census Dates

Learning Outcomes

  1. Identify, analyse and communicate the purpose and application of data in industry contexts.
  2. Analyse and present data to support industry relevant decision making.
  3. Interpret data and apply an ‘evidence-based approach’ to decision making.
  4. Apply and communicate evidence-based decision making approaches to innovate or problem solve in industry practice situations

Fees

Domestic

Band CSP Student Contribution Field of Education
2 2020: $1,190.00 020303

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.

Teaching

Teaching Pattern

Teaching material and tutorial support will be provided weekly through MyLO during the term.

Students will be required to attend two to three on campus practical sessions per term (2-3 hours per session).

Internet access is required for this course as students are required to access study materials provided online through MyLO. Please log into MyLO on the first day of each teaching period.

Assessment

AT1: Importance of Data (20%)

AT2: Case study (30%)

AT3: Evidence Based Proposal (50%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone
Booktopia textbook links

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