- Code COMP8460
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Academic career PGRD
- Dr Weifa Liang
- Mode of delivery In Person
- Co-taught Course
Second Semester 2018
See Future Offerings
This course is concerned with the study of algorithms for solving practical problems efficiently, and the theoretical analysis of their behaviour. There will also be a brief introduction to complexity theory, the formal study of algorithm performance. A large variety of algorithms are candidates for study. These include, but are not limited to, the following: greedy algorithms, dynamic programming, network flow algorithms, algorithms for string matching, parallel algorithms, graph algorithms and approximation algorithms.
Upon successful completion, students will have the knowledge and skills to:Upon successful completion of this course, students will be able to:
- Analyse a variety of algorithms with practical applications and the resource requirements of each.
- Determine the most suitable algorithm for any given task and then apply it to the problem.
- Demonstrate adequate comprehension of the theory of intractability and prove when certain kinds of problems are intractable.
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Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8456||23 Jul 2018||30 Jul 2018||31 Aug 2018||26 Oct 2018||In Person||N/A|