We've released the new Subject Search, designed to be simpler and faster than the application below.
CP2410 - Algorithms and Data Structures
Credit points: |
3 |
Year: |
2021 |
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
|
JCU Singapore,
Study Period 51,
Internal
|
Census Date 08-Apr-2021 |
Coordinator: |
Dr Dmitry Konovalov |
Lecturer:
|
Dr Shailey Chawla. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 50 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
- assessment and self-directed study
|
|
|
JCU Singapore,
Study Period 53,
Internal
|
Census Date 02-Dec-2021 |
Coordinator: |
Dr Dmitry Konovalov |
Lecturer:
|
Dr Shailey Chawla. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 50 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
- assessment and self-directed study
|
|
|
Study Period 1,
External
|
Census Date 25-Mar-2021 |
Coordinator: |
Dr Dmitry Konovalov |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 0 hours
- 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.