Courses & Units

Introduction to Data Science KIT102

Introduction

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.

Summary

Unit name Introduction to Data Science
Unit code KIT102
Credit points 12.5
Faculty/School Faculty of Science, Engineering & Technology
School of Engineering & ICT
Discipline Computing and Information Systems
Teaching staff TBA
Level Introductory
Available as student elective? Yes
Breadth Unit? No

Availability

This unit is currently unavailable.

Note

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* 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 2015 are indicative and subject to change. Finalised census dates for 2015 will be available from the 1st October 2014.

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Fees

Domestic

Band Field of Education

Fees for next year will be published in October. The fees above only apply for the year shown.

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Requisites

Mutual Exclusions

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

Teaching

Teaching Pattern1hr lecture, 2hrs online modules, 2hr laboratory classes weekly
Assessment60% exam, 40% in-semester (3 assignments worth 10%, 20%, 10%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

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