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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.

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

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.

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

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.

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

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.

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

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.

  • 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.