James Cook University Subject Handbook - 2019

CP3403 - Data Mining

Credit points: 03
Year: 2019
Student Contribution Band: Band 2
Administered by:

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

Prerequisites:6 CP OF CP SUBJECTS AND 12 CP OF SUBJECTS
Inadmissible
Subject
Combinations:
CP3300 CP5634

Availabilities

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

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

      Cairns, , Study Period 1
      Census Date 28-Mar-2019
      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, , Study Period 51
        Census Date 11-Apr-2019
        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, , 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.