• 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 Postgraduate
  • Course convener
    • Dr Weifa Liang
  • Mode of delivery In Person
  • Co-taught Course COMP3600
  • Offered in Second Semester 2019
    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

On completion of this course the student will:
  • Display an advanced understanding of a variety of algorithms, including linear selection, minimum spanning trees, single source shortest path, Huffman coding, etc, with real-life applications and the resource requirements.
  • Expertly apply the most effective algorithmic techniques including dynamic programming, greedy policy, and divide-and-conquer, to solve some practical problems.
  • Define and analyse time and space complexities of algorithms.
  • Demonstrate experience in the design and implementation of algorithms for practical problems, using languages like C, C++.
Professional Skills Mapping
Mapping of Learning Outcomes to Assessment and Professional Competencies

Indicative Assessment

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

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

Requisite and Incompatibility

To enrol in this course you must be studying Master of Computing or have successfully completed COMP6700 or COMP6710. You are not able to enrol in this course if you have successfully completed COMP3600.

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. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 2
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
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
7212 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person

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