• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Transitional
  • Course subject Computer Science
  • Areas of interest Computer Science, Information Technology
  • Academic career PGRD
  • Course convener
    • Dr Weifa Liang
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2014
    See Future Offerings

This course deals with the study of algorithms for solving practical problems as well as the data structures used in their implementation. A large variety of algorithms are candidates for study including greedy algorithms, dynamic programming, divide and conquer, exhaustive search, graph algorithms, heaps, network flow algorithms, string matching and so on. Analysis of the resource requirements of algorithms will be an important issue of study.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

On completion of this course the student will:

  • have a thorough understanding of a variety of algorithms with real-life applications and the resource requirements.
  • be able to apply the algroithmic techniques including dynamic programming, greedy policy, and divide-and-conquer, to solve some practical problems.
  • be able to analyze time and space complexities of algorithms.
  • have some experience in the design and implemenation of algorithms for practical problems, using languages like C, C++.

Indicative Assessment

Assignments (40%); Final Exam (60%)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


Thirty one-hour lectures and four two-hour tutorial/laboratory sessions.

Requisite and Incompatibility

To enrol in this course you must have completed COMP6700 or COMP6710; or be studying Master of Computing 7705 or Master of Computing 7706.

Prescribed Texts

The following text book will be used for this course:

  • Cormen, T., Leiserson, C.E. Rivest. R.L. & Stein, C. Introduction to Algorithms, MIT Press, 2nd Edition, 2002.

The following reference books are recommended for this course:

  • Baase, S. & Van Gelder, Allen Computer Algorithms – Introduction to Design and Analysis by Addison-Wesley, 3rd Edition, 2000.
  • Sedgewick, Robert Algorithms in C, 3rd Edition, 2002.
  • Aho, Alfred V., Hopcroft, John E., & Ullman, Jeffrey D. The Design and Analysis of Computer Algorithms, Addison-Wesley, 1974.
  • Kleinberg, John & Tardos, Eva Algorithms Design, Addison-Wesley, 2005.


Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.

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.

6.00 0.12500
Domestic fee paying students
Year Fee Description
1994-2003 $1980
2014 $2952
2013 $2946
2012 $2946
2011 $2946
2010 $2916
2009 $2916
2008 $2190
2007 $2088
2006 $2088
2005 $2088
2004 $2088
International fee paying students
Year Fee
1994-2003 $3450
2014 $3762
2013 $3756
2012 $3756
2011 $3756
2010 $3750
2009 $3618
2008 $3618
2007 $3618
2006 $3618
2005 $3534
2004 $3450
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
6899 21 Jul 2014 08 Aug 2014 31 Aug 2014 30 Oct 2014 In Person N/A

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