- Code COMP4600
- Unit Value 6 units
- Offered by School of Computing
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Computer Science, Information Technology
- Academic career UGRD
- Dr Sid Chi-Kin Chau
- Mode of delivery In Person
- Co-taught Course
Second Semester 2022
See Future Offerings
In Sem 2 2022, this course is delivered on campus with adjustments for remote participation due to unavoidable COVID constraints.
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 completion of this course, the student will:
- 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.
Assignments (50%); Final Exam (50%)
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WorkloadTwenty-six one-hour lectures, together with occasional seminars
Requisite and Incompatibility
Cormen, Thomas H., Leiserson, Charles E. & Rivest, Ronald L. Introduction to Algorithms, The MIT Electrical Engineering and Computer Science Series. The MIT Press, Cambridge, Massachusetts, 3rd EDdition, 2009.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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- International fee paying students
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|
|7619||25 Jul 2022||01 Aug 2022||31 Aug 2022||28 Oct 2022||In Person||View|