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Area/Catalogue
INFS 3075

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Course Level
Undergraduate

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Offered Externally
Yes

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Course ID
164481

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Unit Value
4.5

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University-wide elective course
No

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Timetable/s

Second Semester
(Study Period 5)
Course owner

Course owner
School of Information Technology and Mathematical Sciences

Course aim

To provide an overview of the tools and techniques of data analytics for big data, and how these can be used by an organisation. To introduce and use some of the common big data tools.

Course content

An overview of big data analytics: data analytics lifecycle; Clustering; association rules;  regression; classification; time series analysis; text analytics; MapReduce and Hadoop; In-Database analytics.

Big Data: Analytics flow for Big Data; MapReduce; NoSQL; data acquisition and storage.

Batch Analytics: Map-Reduce and Hadoop; Pig; Oozie, Spark.

Real-Time Analytics: Storm; Spark.

Interactive Querying, serving databases and Web Frameworks.

 

Textbook(s)

Baesens, B 2014, Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, Wiley

Bahga, A, Madisetti, V 2016, Data Science and Analytics: A hands on Approach, Arshdeep Bahga & Vijay Madisetti

Prerequisite(s)

Common to all relevant programs
Subject Area & Catalogue Number Course Name
MATH 2030 Applied Probability

Corequisite(s)

Nil

Teaching method

Component Duration
INTERNAL, MAWSON LAKES
Lecture 1 hour x 13 weeks
Computer Practical 1 hour x 12 weeks
Workshop 1 hour x 12 weeks
INTERNAL, CITY WEST
Lecture 1 hour x 13 weeks
Computer Practical 1 hour x 12 weeks
Workshop 1 hour x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
Online N/A x 13 weeks

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 30% N/A
Case study 2000 words 30% N/A
Assignment 2500 words 40% N/A
INTERNAL, CITY WEST
Continuous assessment N/A 30% N/A
Case study 2000 words 30% N/A
Assignment 2500 words 40% N/A
EXTERNAL, MAWSON LAKES, ONLINE
Continuous assessment N/A 30% N/A
Case study 2000 words 30% N/A
Assignment 2500 words 40% 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

Degrees this course is offered in

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