Your upfront cost: $0
Subjects may require attendance
- 01 Jun 2020
QS RANKING 2020
Times Higher Education Ranking 2020
Note that this is an advanced IT course and the material presented within it will be targeted at students who are in the final stage of their studies towards the Bachelor of Information Technology.
Upon successful completion of this course you should be able to:
- Develop and deploy cloud application using popular cloud platforms
- Design and develop highly scalable cloud-based applications by creating and configuring virtual machines on the cloud and building private cloud
- Explain and identify the techniques of big data analysis in cloud
- Compare, contrast, and evaluate the key trade-offs between multiple approaches to cloud system design, and identify appropriate design choices when solving real-world cloud computing problems
- Write comprehensive case studies analysing and contrasting different cloud computing solutions
- Make recommendations on cloud computing solutions for an enterprise
- Introduction / Setup
- Building Cloud Applications
- Amazon Web Services (AWS)
- Cloud Applications
- Parallel and Distributed Computing
- Cloud Databases
- Serverless Computing
- Data Visualisation
- Data Mining
- Real-time Data Analysis
- Internet of Things (IOT)
- Privacy / Revision
- Overview Notes
- Podcasting/Lecture capture
- Discussion forum/Discussion Board
- Virtual Classroom
- Online assignment submission
- Streaming Multimedia
- Audio-Video streaming
- Resources and Links
You must have successfully completed the following subject(s) before starting this subject:
Students undertaking this subject should ensure that they also possess a solid understanding in the following areas: data communications and networking technologies; college level mathematics; the ability to write technical reports to a professional standard.
- SoftwareDetails - Subscription to Google and/or Amazon Web Services (AWS) may be required - details TBC.
Please note: This course is currently being developed for online study and the detail below is subject to change.
Cloud Computing is a large-scale distributed computing paradigm which has become a driving force for information technology over the past several years. The exponential growth data size in scientific instrumentation/simulation and social media has triggered the wider use of cloud computing services.
This subject covers topics and technologies related to Cloud Computing and their practical implementations. You should explore different architectural models of cloud computing, the concepts of virtualisation and cloud orchestration.
You should gain hands-on experience with various features of popular cloud platforms such as Google App Engine and Amazon Web Services throughout the various activities in the subject. Advanced cloud programming paradigms and the concept of modern Big Data analysis on cloud platforms using various data mining tools and techniques are also included in the subject.
The practical tasks in this course will cover cloud application development and deployment, use of cloud storage, creation and configuration of virtual machines and data analysis on cloud using data mining tools. Different application scenarios from popular domains that leverage the cloud technologies such as remote healthcare and social networks will be explained. The theoretical knowledge, practical tasks and assignments aim to help you to build your skills to develop large-scale industry standard applications using cloud platforms and tools.
This subject focuses on learning emerging issues related to cloud computing technology. The objectives are:
- Understand various basic concepts related to cloud computing technologies
- Understand the architecture and concept of different cloud models: IaaS, PaaS, SaaS
- Understand big data analysis tools and techniques
- Understand the underlying principle of cloud virtualisation, cloud storage, data management and data
- Understand different cloud programming platforms and tools
- Be familiar with cloud programming using Google’s ‘Go’ programming language
- Have details knowledge on reading and writing in cloud storage
- Be familiar with application development and deployment using cloud platforms
- Create application by utilizing cloud platforms such as Google app Engine and Amazon Web Services (AWS)
- Learn to develop scalable applications using AWS features.
- Practical Problem-Solving Tasks (15%)
- Practical Problem-Solving Project (35%)
- Final Examination (50%)
Check the learning management system (LMS) of your university for textbook details.