- Subject notes
LEARNING AND TEACHING METHODS
This subject involves two 1-hour lectures and one 2-hour workshop each week. Although lectures are largely delivered directly based on the slides, often there are in-class discussions and development of computer code. The workshops are a blend of tutorial theory questions and implementation of algorithms and data structures in C.
INDICATIVE KEY LEARNING RESOURCES
Students are provided with lecture slides, and sample and scaffolding computer code in the C language.
CAREERS / INDUSTRY LINKS
With Big Data at the forefront of modern computing solutions, industry is ever-more focused on efficient computational analysis methods. Software engineers, developers and data analysts will find not only the analysis techniques, but also the fundamental algorithmic design concepts, highly applicable to the handling of significant datasets.
- Related Handbook entries
- Breadth options
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 19 November 2019