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Area/Catalogue
INFS 5100

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Course Level
Postgraduate

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Offered Externally
Yes

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Course ID
154323

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Unit Value
4.5

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University-wide elective course
No

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Timetable/s
First Semester
(Study Period 2)

Second Semester
(Study Period 5)
Course owner

Course owner
School of Information Technology and Mathematical Sciences

Course aim

To enable students to perform, on large data sets,  data exploration, visualisation, and preliminary analysis using predictive modelling techniques.

Course content

Data exploration, visualisation and preliminary analysis: advanced exploratory data analysts; data visualisation; data quality verification; missing data analysis; data manipulation and cleaning.

Predictive modelling: logistic regression and generalised linear models; decision trees; random forests; generalised boosted models; naive Bayes classifiers and other techniques.

Textbook(s)

Tan, P; Steinbach, M; Kumar, V 2013, Introduction to Data Mining: Pearson New International Edition, Pearson

Prerequisite(s)

Subject Area & Catalogue Number Course Name
Group 1
Both courses or equivalent knowledge or professional experience
INFS 4018 Business Intelligence and Analytics
INFS 4019 Relational Databases and Warehouses

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 1 hour x 12 weeks
Directed Study N/A x 13 weeks
INTERNAL, CITY WEST
Workshop (Face-to-face and/or virtual workshops, including small group work.) 2 hours x 13 weeks
Computer Practical 1 hour x 12 weeks
Directed Study N/A x 13 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 25% N/A
Assignment 2000 25% N/A
Examination N/A 30% 2 hours
INTERNAL, CITY WEST
Continuous assessment N/A 20% N/A
Assignment 1500 25% N/A
Assignment 2000 25% N/A
Examination N/A 30% 2 hours
EXTERNAL, MAWSON LAKES, ONLINE
Continuous assessment N/A 20% N/A
Assignment 1500 25% N/A
Assignment 2000 25% N/A
Examination N/A 30% 2 hours

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
School of Information Technology and Mathematical

Degrees this course is offered in

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