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CP3403 - Data Mining
Credit points: |
3 |
Year: |
2021 |
Student Contribution Band: |
Band
2 |
Administered by: |
College of Science and Engineering |
Students will be introduced in this subject to fundamental data mining and big data
concepts, technologies, and applications. Topics include data mining, data warehousing,
big data analytics, data visualisation, pre-processing, clustering, classification
and association rules mining. Students will gain hands-on experience with popular
data mining tools and develop skills in practical data mining and big data analytics.
Learning Outcomes
- explain the notion of big data, information intelligence, data mining, data profiling,
data cleaning and data integration and warehousing;
- analyse and apply data mining techniques and tools;
- examine the working principles of data mining and knowledge discovery in databases;
- relate intelligence informatics to data warehousing, big data and data mining;
- assess the potential benefits, risks, issues and challenges associated with big data
and data mining.
Subject Assessment
- Written > Examination (centrally administered) - (40%) - Individual
- Written > Test/Quiz 1 - (20%) - Individual
- Oral > Presentation 1 - (10%) - Group
- Written > Project report - (30%) - Group.
Prerequisites: |
CP2403 AND CP2404 OR 6 CREDIT POINTS OF CP SUBJECTS AND 12 CREDIT POINTS OF SUBJECTS |
Inadmissible Subject Combinations:
|
CP3300 CP5634 |
Availabilities
|
Cairns,
Study Period 1,
Internal
|
Census Date 25-Mar-2021 |
Coord/Lect: |
Professor Ickjai Lee. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 12 hours practicals
- 26 hours online interactive lectures
- 12 hours online collaboration sessions
- assessment and self-directed study
|
|
|
JCU Brisbane,
Study Period 21,
Internal
|
Census Date 11-Mar-2021 |
Coordinator: |
Professor Ickjai Lee |
Lecturer:
|
Dr Paul Darwen. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
|
|
JCU Brisbane,
Study Period 22,
Internal
|
Census Date 24-Jun-2021 |
Coordinator: |
Professor Ickjai Lee |
Lecturer:
|
Dr Paul Darwen. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
|
|
JCU Brisbane,
Study Period 23,
Internal
|
Census Date 07-Oct-2021 |
Coordinator: |
Professor Ickjai Lee |
Lecturer:
|
Dr Paul Darwen. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
|
|
JCU Singapore,
Study Period 51,
Internal
|
Census Date 08-Apr-2021 |
Coordinator: |
Professor Ickjai Lee |
Lecturer:
|
Dr Eric Tham. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
|
|
JCU Singapore,
Study Period 52,
Internal
|
Census Date 05-Aug-2021 |
Coordinator: |
Professor Ickjai Lee |
Lecturer:
|
Dr Eric Tham. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
|
|
Townsville,
Study Period 1,
Internal
|
Census Date 25-Mar-2021 |
Coord/Lect: |
Professor Ickjai Lee. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 12 hours practicals
- 26 hours online interactive lectures
- 12 hours online collaboration sessions
- assessment and self-directed study
|
|
|
Study Period 1,
External
|
Census Date 25-Mar-2021 |
Coordinator: |
Professor Ickjai Lee |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 0 hours
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.