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CP2410 - Algorithms and Data Structures
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.