• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Computer Science
  • Areas of interest Computer Science, Software Engineering
  • Academic career UGRD
  • Course convener
    • Dr Hanna Kurniawati
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2019
    See Future Offerings


This course provides basic approaches for designing and analysing algorithms and data structures. It will focus on two fundamental problems in computing: Sorting and searching. It will cover various data structures and algorithm design techniques for solving these two classes of problems, as well as basic performance measures and analysis techniques for solving such problems.

Learning Outcomes

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

  1. 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.
  2. Expertly apply the most effective algorithmic techniques including dynamic programming, greedy policy, and divide-and-conquer, to solve some practical problems.
  3. Define and analyse time and space complexities of algorithms.
  4. Demonstrate experience in the design and implementation of algorithms for practical problems, using languages like C, C++.

Indicative Assessment

  1. 3 Assignments (20% each) (60) [LO null]
  2. Final exam (40) [LO null]

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.


As a third year course, students are expected to recap and conduct independent studies as many hours as they need to gain understanding of the materials. To help this learning process, we provide 12 two hour lectures, 8 one-hour open session, and 11 two-hour tutorial/laboratory sessions.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have completed COMP1110 or COMP1140 or COMP1510; and 6 units of 2000-level COMP courses; and 6 units of 2000-level MATH courses or COMP1600 or COMP2600. You are not able to enrol in this course if you have successfully completed COMP6466.

Prescribed Texts

The following textbook will be used for this course:

   Anany Levitin, Introduction to the Design and Analysis of Algorithms, 3rd ed

The following reference books are recommended for this course:

  1. T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms, MIT Press,3rd Ed., 2009.
  2. Robert Sedgewick, Algorithms in C (or JAVA), Addison-Wesley, 3rd Edition, 2002.
  3. Sara Baase and Allen Van Gelder, Computer Algorithms { Introduction to Design and Analysis, Addison-Wesley, 3rd Edition, 2000.
  4. John Kleinberg and Eva Tardos, Algorithms Design, Addison-Wesley, 2005.
  5. Sanjoy Dasgupta, Christos Papadimitriou and Umesh Vazirani, Algorithms, McGraw HillHigher Education, 2008.
  6. Alfred V. Aho, John E. Hopcroft and Jerey D. Ullman,The Design and Analysis of Computer Algorithms, Addison-Wesley, 1974




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:
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
2019 $4320
International fee paying students
Year Fee
2019 $5700
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
7207 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person N/A

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