Number of Units: 2
Exclusions: Cannot be studying Computer Applications
Method of Delivery: St Luke’s
External Assessment: HSC Examination
Contribution to ATAR: Yes
Course Description
The study of Enterprise Computing 11–12 enables students to develop an understanding of the function and purpose of digital tools and processes, and the importance of data in enterprise information systems. This allows students to effectively use and manage digital tools and technologies in commercial and other settings.
The Year 11 course provides students with the opportunity to develop and apply an understanding of enterprise computing systems in the safe and secure usage and storage of data. This is done by manipulating tools and resources while being aware of their social, ethical and legal implications.
Why study this course
Students develop an understanding of how computing technologies can be harnessed to provide effective user interaction and efficient access to information that supports commercial, industrial, social and environmental initiatives. Students use their acquired knowledge and skills to develop an enterprise project. Project work encourages students to collaborate on problems and develop team and communication skills that are highly valued in the industry.
Topics
Preliminary Course
Interactive Media and the User Experience
Networking Systems and Social Computing
Principles of Cybersecurity
HSC Course
Data Science
Data Visualisation
Intelligent Systems
Enterprise Project
Post School Options
Enterprise Computing refers to business-oriented information technology that is critical to a company’s operations. It encompasses types of information technology tools that businesses use for resource management, efficient production operations, relationship management and back office support. Students perform project work and apply their knowledge and skills that can prepare them for careers in the following industries: interactive media and the user experience, networking systems and social connections, principles of cybersecurity, data science, data visualisations, and intelligent systems.