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.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, the student will:
- Have a thorough understanding of a variety of algorithms with practical applications and the resource requirements of each.
- Have an good idea as to where these algorithms can be used.
- Have a basic understanding of the theory of intractability.
- Have some experience in proving that certain kinds of problems are intractable.
Indicative Assessment
Assignments (50%); Final Exam (50%)
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.
Workload
Twenty-six one-hour lectures, together with occasional seminars
Requisite and Incompatibility
Prescribed Texts
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.
Majors
Fees
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:
- 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.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee | Description |
|---|---|---|
| 1994-2003 | $1650 | |
| 2014 | $2952 | |
| 2013 | $2946 | |
| 2012 | $2946 | |
| 2011 | $2946 | |
| 2010 | $2916 | |
| 2009 | $2850 | |
| 2008 | $2592 | |
| 2007 | $2298 | |
| 2006 | $2190 | |
| 2005 | $2190 | |
| 2004 | $2190 |
- International fee paying students
| Year | Fee |
|---|---|
| 1994-2003 | $3234 |
| 2014 | $3762 |
| 2013 | $3756 |
| 2012 | $3756 |
| 2011 | $3756 |
| 2010 | $3750 |
| 2009 | $3426 |
| 2008 | $3426 |
| 2007 | $3426 |
| 2006 | $3426 |
| 2005 | $3288 |
| 2004 | $3234 |
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.
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 |
|---|---|---|---|---|---|---|
| 7840 | 21 Jul 2014 | 01 Aug 2014 | 31 Aug 2014 | 30 Oct 2014 | In Person | N/A |
