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CP3403 - Data Mining
| Credit points: | 3 |
| Year: | 2023 |
| 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 (18 CREDIT POINTS OF UNDERGRADUATE SUBJECTS INCLUDING 6 CREDIT POINTS OF CP SUBJECTS) |
| Inadmissible Subject Combinations: |
CP3300 CP5634 |
Availabilities |
|
| Cairns, Study Period 1, Internal | |
| Census Date 23-Mar-2023 | |
| Coord/Lect: | Dr Dmitry Konovalov. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Trimester 1, Internal | |
| Census Date 09-Mar-2023 | |
| Coordinator: | Dr Dmitry Konovalov |
| Lecturer: | Dr Ahmad Abdel-Hafez. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Trimester 2, Internal | |
| Census Date 22-Jun-2023 | |
| Coordinator: | Dr Dmitry Konovalov |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Trimester 3, Internal | |
| Census Date 05-Oct-2023 | |
| Coordinator: | Dr Dmitry Konovalov |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Study Period 51, Internal | |
| Census Date 06-Apr-2023 | |
| Coordinator: | Dr Dmitry Konovalov |
| Lecturer: | Dr Eric Tham. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Study Period 52, Internal | |
| Census Date 03-Aug-2023 | |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Study Period 1, Internal | |
| Census Date 23-Mar-2023 | |
| Coord/Lect: | Dr Dmitry Konovalov. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Study Period 1, External | |
| Census Date 23-Mar-2023 | |
| Coord/Lect: | Dr Dmitry Konovalov. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
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.