Computing for Academic Purposes
Computing for Academic Purposes incorporates both a practical and theoretical component that prepares students for success at university.
In Term 1 practical skills are developed using software that is applicable across all disciplines. Theoretical understanding is approached by identifying and critiquing topical technological issues relevant to individuals and society that may impact on their academic, personal and professional lives.
Computing for Academic Purposes takes place in a computing laboratory using a hands-on, problem-solving approach. Software covered includes MS Office applications and ancillary tools such as bibliographic software (Mendeley).
In Term 2 topics are tailored to core applications required for disciplinary learning at university.
- Commerce and Arts/Social Sciences streams learn more advanced spreadsheet techniques using MS Excel to analyse, manipulate and visualise data. Students will also work in groups to locate, explore and choose appropriate tools and presentation methods to develop and present a concept for a multimedia object, including peer review, critique and feedback of another group’s project.
- Science streams focus on developing programming skills using Python. Students will apply problem-solving methods to develop solutions to real-world problems, using established programming conventions and good programming practices.
The practical component includes MS PowerPoint, MS Word, MS Excel, Mendeley Referencing; the theory component explores Digital Literacy, Hardware, Software, Internet, Security and Privacy.
Students should be able to use a keyboard to type accurately, and with reasonable speed.