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CP2016 - Data Management and Handling

[Not offered in 2019]

Credit points: 3
Year: 2019
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

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 CP2410 CP5602

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.