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Advanced Algorithms and Data Structures (COMP90077)
Graduate courseworkPoints: 12.5Online
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Professor Tony Wirth
Overview
Availability | Semester 1 - Online |
---|---|
Fees | Look up fees |
Contemporary software systems such as search engines must deal with huge amounts of data, often in real time. In such cases, standard data structures and algorithms do not scale. This subject aims to provide an overview of contemporary advanced algorithms and data structures in computer science for such problems. These techniques serve as building blocks for solving complex algorithmic problems, and have many practical applications.
Intended learning outcomes
On completion of this subject the student is expected to:
- Design, manipulate and reason about a variety of advanced algorithmic techniques and principles, and advanced data structures
- Identify the appropriate algorithm (and data structure) to solve a complex problem
- Implement such algorithms and data structures efficiently and correctly
Generic skills
- An ability to apply advanced knowledge in reasoning and problem solving
- Ability to undertake advanced problem identification, formulation and solution
- An ability to implement complex algorithms in practice
- Capacity for creativity and innovation
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
One of the following:
Entry into the Master of Computer Science
OR
Entry into the Master of Engineering (Software) AND one of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
COMP20007 | Design of Algorithms | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
Or
Entry into another Masters degree or Graduate Diploma in Computer Science, with Subject Coordinator Approval
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Description | Timing | Percentage |
---|---|---|
Two assignments: written assignment due in week 4 (10%) and programming assignment due in week 11 (20%). Addressing Intended Learning Outcomes (ILO's) 1, 2 & 3.
| From Week 4 to Week 11 | 30% |
Written examination, 3 hours, due end of semester (60%). Addressing ILO's 1, 2 & 3.
| End of semester | 60% |
Mid-Semester test, 30 minutes, week 7 (10%). Addressing ILO's 1 & 2.
| Week 7 | 10% |
Last updated: 3 November 2022
Dates & times
- Semester 1 - Online
Coordinator Tony Wirth Mode of delivery Online Contact hours One 2 hour lecture and one 1 hour workshop per week Total time commitment 200 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021 Semester 1 contact information
Professor Tony Wirth
Time commitment details
200
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Computer Science Course Master of Engineering Specialisation (formal) Software - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Permission to enrol in the subject is required from the subject coordinator.
Last updated: 3 November 2022