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CP3403 - Data Mining

Credit points: 03
Year: 2019
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.
Prerequisites: 6 CP OF CP SUBJECTS AND 12 CP OF SUBJECTS
Inadmissible
Subject
Combinations:
CP3300 CP5634

Availabilities

Townsville, Internal, Study Period 1
Census Date 28-Mar-2019
Coord/Lect: Professor Ickjai Lee.
Contact hours:
  • 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
    Assessment: end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%).

    External, Study Period 1
    Census Date 28-Mar-2019
    Coordinator: Professor Ickjai Lee
    Contact hours:
    • 0 hours
      Assessment: end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%).

      Cairns, Internal, Study Period 1
      Census Date 28-Mar-2019
      Coord/Lect: Professor Ickjai Lee.
      Contact hours:
      • 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
        Assessment: end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%).

        JCU Singapore, Internal, Study Period 51
        Census Date 11-Apr-2019
        Coordinator: Professor Ickjai Lee
        Lecturer: Dr Kisenchand Ranai.
        Contact hours:
        • 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
          Assessment: end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%).

          JCU Singapore, Internal, Study Period 52
          Census Date 08-Aug-2019
          Contact hours:
          • 38 hours - Combined Lectures; Practicals; Lecturer directed activities.
            Assessment: end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%).

            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.