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||Faculty of Science, Engineering & Technology
School of Engineering & ICT
|Discipline||Computing and Information Systems|
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
Units are offered as On-campus where the majority of teaching will occur at the campus identified. Units offered Off-campus generally have no requirement for attendance at a physical university campus unless the unit has practical or fieldwork components*: the campus indicated for an Off-Campus unit is the one at which teaching is administered from.
*Please read the Unit Introduction in the Course and Unit Handbook for attendance requirements for units offered in Off-campus mode.
* 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 2017 are indicative and subject to change. Finalised census dates for 2017 will be available from the 1st October 2016.
|Study Period||Start date||Census date||WW date||End date|
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2017: $1,131.00||2017: $2,168.00||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
2hr lectures with associated readings, 2hr laboratory classes weekly
60% 3hr exam, 40% in-semester (1 assignment worth 10%, three tests worth 10% each)
|Timetable||View the lecture timetable | View the full unit timetable|
|Required||To be advised by Unit Coordinator|
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