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CP2501 - Cloud Computing
| Credit points: | 3 |
| Year: | 2023 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Science and Engineering |
This subject is to cover emerging topics and technologies related to Cloud Computing, and their applications and implementations. Cloud computing has become a main driver for medium and large scale businesses where challenges arise from big data, and it becomes crucial to experience diverse architectural models and services of cloud computing, and to study the concepts of cloud virtualisation. Main topics covered include: cloud models, cloud computing concepts and technologies, cloud platforms and tools, cloud virtualisation, cloud storage and data management, and application development and deployment using cloud techniques and platforms. Students will acquire hands-on experience through practising on public cloud infrastructures, Amazon Web Services (AWS).
Learning Outcomes
- explore cloud computing platforms, models, tools and techniques;
- design and develop scalable applications using cloud computing tools and techniques;
- critically appraise the working principle of cloud virtualisation, and cloud data management;
- explore cloud application programming models to manage big data challenges.
Subject Assessment
- Written > Examination (centrally administered) - (50%) - Individual
- Written > Test/Quiz 1 - (30%) - Individual
- Written > Project report - (20%) - Individual.
| Inadmissible Subject Combinations: |
CP3511 |
Availabilities |
|
| Cairns, Trimester 3, Internal | |
| Census Date 05-Oct-2023 | |
| Coordinator: | Dr Zhigang Lu |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Trimester 3, Internal | |
| Census Date 05-Oct-2023 | |
| Coordinator: | Dr Zhigang Lu |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Study Period 53, Internal | |
| Census Date 30-Nov-2023 | |
| Coordinator: | Dr Zhigang Lu |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Trimester 3, Internal | |
| Census Date 05-Oct-2023 | |
| Coord/Lect: | Dr Zhigang Lu. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Trimester 3, External | |
| Census Date 05-Oct-2023 | |
| Coord/Lect: | Dr Zhigang Lu. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| 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.