In Sem 2 2022, this course is delivered on campus with adjustments for remote participation due to unavoidable COVID constraints.
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:
- 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++.
Other Information
For those whose permission code is still pending, please sign-up for the piazza forum at https://programsandcourses.anu.edu.au/course/comp3600 to receive up to date information about this class.
Indicative Assessment
- 3 Assignments (20% each) (60) [LO null]
- 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.
Workload
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
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:
- T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms, MIT Press,3rd Ed., 2009.
- Robert Sedgewick, Algorithms in C (or JAVA), Addison-Wesley, 3rd Edition, 2002.
- Sara Baase and Allen Van Gelder, Computer Algorithms { Introduction to Design and Analysis, Addison-Wesley, 3rd Edition, 2000.
- John Kleinberg and Eva Tardos, Algorithms Design, Addison-Wesley, 2005.
- Sanjoy Dasgupta, Christos Papadimitriou and Umesh Vazirani, Algorithms, McGraw HillHigher Education, 2008.
- Alfred V. Aho, John E. Hopcroft and Jerey D. Ullman,The Design and Analysis of Computer Algorithms, Addison-Wesley, 1974
Majors
Fees
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:
- 2
- 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.
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 |
|---|---|
| 2022 | $4740 |
- International fee paying students
| Year | Fee |
|---|---|
| 2022 | $6000 |
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 |
|---|---|---|---|---|---|---|
| 7395 | 25 Jul 2022 | 01 Aug 2022 | 31 Aug 2022 | 28 Oct 2022 | In Person | View |
