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CP2016 - Data Management and Handling

Credit points: 3
Year: 2014
Student Contribution Band: Band 2
Administered by: School of Business (pre 2015)

This subject is a detailed examination of the issues involved in data structures and algorithms, efficient and effective data management and handling, algorithm design and analysis, implementation, indexing and retrieval. Topics covered include: preliminary data structures, efficient and effective data management, algorithm design and analysis, trees, graphs, searching, sorting, multi-dimensional modelling and indexing, and real world applications.

Learning Outcomes

  • Understand the importance of data structure and preliminary data structures;
  • Understand reasoning about efficiency of algorithm;
  • Understand various advanced data structures and algorithms;
  • Understand implementations of various data structures and algorithms;
  • Understand spatial tessellation, text management and indexing.
Prerequisites: 12 CP OF SUBJECTS
Inadmissible
Subject
Combinations:
CP2001

Availabilities

JCU Singapore, Internal, Study Period 52
Census Date 17-Jul-2014
Coordinator: Assoc. Professor Hossein Ghodosi
Lecturer: Mr Kwang Lim.
Workload expectations:
  • 26 hours lectures
  • 24 hours practicals - only the first hour of each practical is supervised
Assessment: end of semester exam (50%); quizzes or tests (20%); assignments (15%); programming/theoretical (15%).

Beijing UT, Internal, Study Period 69
Census Date 11-Dec-2014
Coordinator: Assoc. Professor Hossein Ghodosi
Workload expectations:
  • 26 hours lectures
  • 24 hours practicals - only the first hour of each practical is supervised
Assessment: end of semester exam (50%); quizzes or tests (20%); assignments (15%); programming/theoretical (15%).

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.