This unit will explain the relationship between data, information and knowledge and introduce a number of different tools for managing, storing, securing, modelling, visualizing and analysing data. This unit will provide an understanding of how data can be manipulated to meet the information needs of users. Changing data into information can be accomplished with a range of tools, including XML, SQL, spread sheeting and data visualisation. Emphasis will be placed upon using the tools to match the information-seeking behaviour of users. This unit introduces the techniques to enable the students to use these tools for managing data, creating information and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved. This unit concludes by introducing the concepts behind managing big data in response to global trends of capturing all available data due to inexpensive storage.
|Unit name||Introduction to Data Science|
|Faculty/School||College of Sciences and Engineering
School of Technology, Environments and Design
|Discipline||Information & Communication Technology|
Dr Matthew Springer
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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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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|Study Period||Start date||Census date||WW date||End date|
* 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 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2019: $1,169.00||2019: $2,321.00||029999|
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.
You cannot enrol in this unit as well as the following:
- KXX131, KIT502
1hr lectures with associated readings, 2hr laboratory classes weekly
50% 2hr exam, 50% in-semester (1 assignment worth 23%, nine tests worth 3% each)
|Timetable||View the lecture timetable | View the full unit timetable|
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