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Area/Catalogue
INFS 5095

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Course Level
Postgraduate

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Offered Externally
Yes

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Course ID
154162

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Unit Value
4.5

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University-wide elective course
No

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Timetable/s

This class has not been
timetabled for year 2020.

Course owner

Course owner
School of Information Technology and Mathematical Sciences

Course aim

To explore Big Data concepts, including cloud and big data architectures, an overview of Big Data analytics, implementation of Big Data initiatives, and to apply these concepts using an industry standard non-relational database environment.

Course content

Part A: Big Data Fundamentals
The Data explosion and the evolution of Big Data;
Issues and challenges with the data explosion;
Management;
 - Transfer & storage, processing.
 - Definition of Big Data
Characteristics of Big Data;
Sources of Big Data(eg social media, customer reviews, census data, sensor data, GIS etc);
Benefits of Big Data;
Challenges with the data explosion;
 - Information management;
 - Privacy & security;
 - Data analytics;
 - Information Strategy;
 - Skills and competencies;
 - The role of the Data Scientist.
Characteristics of Big Data;

Part B: Big Data Technologies Roadmap
Cloud and Big Data architectures;
Non-relational databases: techniques for storing and processing large volumes of structured and unstructured data;
Streaming data;
Unstructured data (text, video, audio etc);
Hadoop, MapReduce and the Big Data ecosystem;
Information Quality & Governance of Big Data.

Part C: Big Data Analytics Overview
Reasoning, logic etc;
Dealing with uncertainty;
Search, indexing, & memory;
Streams, information & language;
Analysing sentiment;
Information extraction;
Visualisation.

Part D: Execution and Implementation of Big Data Initiatives
The Business Case for Big Data Initiatives;
Why should companies invest in Big Data;
Analytical Process Management;
Innovation using Big Data;
Case Studies.

Part E: Future Directions in Big Data

Textbook(s)

Nil

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

Component Duration
INTERNAL, MAWSON LAKES
Workshop (Face-to-face and/or virtual workshops, including small group work.) 2 hours x 13 weeks
Computer Practical 2 hours x 12 weeks
INTERNAL, CITY WEST
Workshop (Face-to-face and/or virtual workshops, including small group work.) 2 hours x 13 weeks
Computer Practical 2 hours x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
External (On-line materials, on-line interactions with these material, weekly on-line computer practicals in a virtual machine environment, online interactions with the course coordinator and with other students, including through virtual workshops. ) N/A x N/A

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.


Assessment

Task Length Weighting Duration
INTERNAL, MAWSON LAKES
Continuous assessment N/A 20% N/A
Assignment 1500 words 30% N/A
Assignment 3000 words 50% N/A
INTERNAL, CITY WEST
Continuous assessment N/A 20% N/A
Assignment 1500 words 30% N/A
Assignment 3000 words 50% N/A
EXTERNAL, MAWSON LAKES, ONLINE
Continuous assessment N/A 20% N/A
Assignment 1500 words 30% N/A
Assignment 3000 words 50% N/A

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
How to determine your Commonwealth Supported course fee. (Opens new window)

Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the Division offering the course. To determine the cost of this course, go to:
How to determine the relevant non award tuition fee. (Opens new window)

Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation

Course Coordinators

School of Information Technology and Mathematical

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