information technology

They may even create acceptable visualisation components to realize insights from the data. These visualisation components will be synthesized into dashboards that add value and can be readily consumed by enterprise customers. The module discusses the advantages and challenges of cloud computing, standards of cloud computing service supply, and Service Level Agreement (SLAs) for cloud companies. Hands-on activities are included to expose college students to varied cloud computing services supplied by major cloud computing providers similar to Amazon Web Services (AWS), Google App Engine (GAE), and Microsoft Windows Azure.

This module introduces college students to the different elements that construct up an enterprise information system. Different forms of information systems are used for business processes similar to advertising, gross sales, procurement, manufacturing, and accounting are introduced. Data science is a field you’ll be able to break into by finishing a postgraduate course.


Besides the tools and techniques of investigation, college students shall be taught sound forensic investigation methodology and the right handling of evidence. The module may also cowl aspects of law and policies relevant to digital forensics.

TAFE SA can offer you vocational education and training (VET) for Schools as part of our nationally recognised training package deal. Courses can be found to college students from Years 10 to 12 as part of the normal faculty curriculum. This module offers and perception into the process of forensics investigation. It covers the various types of pc related crimes, techniques of gathering digital evidence, and the recovering of deleted, damaged or encrypted data. Students will also make use of advanced forensic tools to carry out forensic investigation.

Descriptive Analytics refers to a discipline utilized by many firms to analyse their knowledge for improved decision making. This module goals to show college students the descriptive analytics lifecycle. Students will learn to ask the suitable analytics questions, establish and aggregate knowledge sources and create information fashions. They will apply strategies to analyse the data captured in these fashions.