Data Management unit (KXO131)

Shanghai Ocean University

Introduction

This unit will explain the relationship between data, information, and knowledge and introduce several different methods/tools for managing, storing, securing, modelling, visualising, and analysing data. This unit will provide an understanding of how data can be manipulated to meet the needs of users. Changing data into information can be accomplished with a range of tools, including Splunk, SQL, and Python. This unit introduces the techniques to enable the students to use these tools for managing data, visualising data, creating information, and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved.

Summary

Unit name	Data Management
Unit code	KXO131
Credit points	12.5
College/School	Sciences and Engineering School of Information and Communication Technology
Discipline	Information & Communication Technology
Coordinator	Miss Chunping Li
Available as an elective?	No
Delivered By	Third Party(ies): Shanghai Ocean University AEIN Institute
Level	Introductory

Availability

Location	Study period	Attendance options		Available to
Shanghai Ocean University	Shanghai Semester 2

Note

Enrolment in units available at ECA Melbourne, Hong Kong Universal Ed, and Shanghai Ocean University is only available to eligible students studying at those corresponding locations.

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.

Key Dates

Study Period	Start date	Census date	WW date	End date
Shanghai Semester 2	1/3/2026	6/4/2026	18/4/2026	4/6/2026

* 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 (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2026 are indicative and subject to change. Finalised census dates for 2026 will be available from the 1st October 2025. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

• Securely store, convert and query data, information, and knowledge
• Extract and analyse knowledge and information from data
• Apply ICT knowledge, skills, and tools to design and develop efficient solutions to data-based problems

Fee Information

Field of Education	Commencing Student Contribution 1,3	Grandfathered Student Contribution 1,3	Approved Pathway Course Student Contribution 2,3	Domestic Full Fee 4
020303	$1,192.00	$1,192.00	not applicable	$2,919.00

¹ Please refer to more information on student contribution amounts.
² Please refer to more information on eligibility and Approved Pathway courses.
³ Please refer to more information on eligibility for HECS-HELP.
⁴ Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Teaching

Teaching Pattern	Lectorials: 45 minutes/week Tutorials: 2 hours/week
Assessment	Data Exploration Assignment (20%)|Data Modelling Assignment (20%)|Data Mining Assignment (30%)|Weekly Tutorial Test (30%)
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.

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