About this subject
- Eligibility and requirements
- Dates and times
- Further information
- Timetable(opens in new window)
Prof Lars Kulik
A/Prof Harald Sondergaard
A. Levitin, Introduction to the Design and Analysis of Algorithms, Pearson, 3rd edition, 2012
- Subject notes
LEARNING AND TEACHING METHODS
The subject involves two weekly one -hour lectures and one tutorial class. The lectures are a mix of direct delivery and interactive student problem solving. Although written assignments are submitted by students individually, in-plenum discussion of the problems is encouraged.
INDICATIVE KEY LEARNING RESOURCES
Students are provided with lecture slides, and links on the LMS to the in-house animated software Algorithms in Action. The slides are integrated with a well-established textbook.
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. Building on an initial connection in a similar undergraduate offering, there is scope for industry liaison with this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Commerce (Decision, Risk and Financial Sciences) Course Master of Data Science Course Master of Operations Research and Management Science Course Ph.D.- Engineering Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Course Master of Science (Bioinformatics) Informal specialisation Computer Science Major MIT Distributed Computing Specialisation Major Computer Science Specialisation (formal) Distributed Computing Specialisation (formal) Health Major MIT Spatial Specialisation Informal specialisation Master of Engineering (Software with Business) Major MIT Health Specialisation Specialisation (formal) Software with Business Major MIT Computing Specialisation Informal specialisation Master of Engineering (Software) Specialisation (formal) Spatial Specialisation (formal) Software Specialisation (formal) Computing
- 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
Last updated: 3 November 2022