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CP2410 - Algorithms and Data Structures

[Offered in even-numbered years in JCU Brisbane, JCU Singapore. ]

Credit points: 3
Year: 2023
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

Efficient data structure is of importance in modern IT systems enabling the effective search and sorting in complex databases. Through the use of algorithms, students determine the most efficient processes to design data structures and systems. In this subject students will examine the issues involved in data structures and algorithms, efficient and effective data management and handling, algorithm design and analysis, implementation and indexing and retrieval.

Learning Outcomes

  • evaluate the efficiency and effectiveness of data structures and algorithms;
  • demonstrate reasoning about efficiency of algorithms;
  • assess and apply suitable data structures and algorithms to IT systems and applications;
  • design and implement data structures and algorithms.

Subject Assessment

  • Written > Examination (centrally administered) - (40%) - Individual
  • Performance/Practice/Product > Practical assessment/practical skills demonstration 1 - (20%) - Individual
  • Performance/Practice/Product > Practical assessment/practical skills demonstration - (20%) - Individual
  • Performance/Practice/Product > Practical assessment/practical skills demonstration 2 - (20%) - Individual.
Prerequisites: 6 CP OF CP SUBJECTS
Inadmissible
Subject
Combinations:
CP2016 CP2001

Availabilities

Cairns, Trimester 2, Internal
Census Date 22-Jun-2023
Coord/Lect: Dr Jason Holdsworth.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours seminars
  • 10 hours online activity
  • 20 hours specialised
  • assessment and self-directed study

JCU Brisbane, Trimester 2, Internal
Census Date 22-Jun-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours seminars
  • 10 hours online activity
  • 20 hours specialised
  • assessment and self-directed study

JCU Singapore, Study Period 51, Internal
Census Date 06-Apr-2023
Coordinator: Dr Jason Holdsworth
Lecturer: Mrs Latha Arumugam.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours seminars
  • 10 hours online activity
  • 20 hours specialised
  • assessment and self-directed study

Townsville, Trimester 2, Internal
Census Date 22-Jun-2023
Coordinator: Dr Jason Holdsworth
Lecturer: Dr Dmitry Konovalov.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours seminars
  • 10 hours online activity
  • 20 hours specialised
  • assessment and self-directed study

Trimester 2, External
Census Date 22-Jun-2023
Coord/Lect: Dr Jason Holdsworth.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 40 hours online activity
  • 10 hours online Seminars
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

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.