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Advanced Algorithms and Data Structures (COMP90077)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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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: 31 January 2024

Eligibility and requirements

Prerequisites

Students must meet one of the following prerequisite options:

Option 1

Admission into or selection of one of the following:

  • MC-CS Master of Computer Science

Option 2

Admission into or selection of one of the following:

  • MC-SOFTENG Master of Software Engineering
  • Software specialisation (formal) in the MC-ENG Master of Engineering

AND

One of

Code Name Teaching period Credit Points
COMP20003 Algorithms and Data Structures
Semester 2 (On Campus - Parkville)
 12.5
COMP20007 Design of Algorithms
Semester 1 (On Campus - Parkville)
 12.5
COMP90038 Algorithms and Complexity
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5

Option 3

Admission into one of the following:

  • Admission into the GD-CS Graduate Diploma in Computer Science
  • Another Masters degree

AND

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: 31 January 2024

Assessment

DescriptionTimingPercentage

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.

  • 35 hours (of work required)
Hurdle requirement: Students must achieve 15/30 in total for the assignment work.		From Week 4 to Week 1130%

Written examination, 3 hours, due end of semester (60%). Addressing ILO's 1, 2 & 3.

  • 3 hours
Hurdle requirement: Students must get 35/70 for the mid-semester test and end-of-semester written examination combined.		End of semester60%

Mid-Semester test, 30 minutes, week 7 (10%). Addressing ILO's 1 & 2.

  • 30 minutes
Hurdle requirement: Students must get 35/70 for the mid-semester test and end-of-semester written examination combined.		Week 710%

Last updated: 31 January 2024

Dates & times

  • Semester 1
    CoordinatorJunhao Gan
    Mode of deliveryOn Campus (Parkville)
    Contact hours36 hours, comprising one 2-hour lecture and one 1-hour tutorial per week
    Total time commitment200 hours
    Teaching period26 February 2024 to 26 May 2024
    Last self-enrol date 8 March 2024
    Census date 3 April 2024
    Last date to withdraw without fail 3 May 2024
    Assessment period ends21 June 2024

    Semester 1 contact information

    junhao.gan@unimelb.edu.au

Time commitment details

200

What do these dates mean

Visit this webpage to find out about these key dates, including how they impact on:

  • Your tuition fees, academic transcript and statements.
  • And for Commonwealth Supported students, your:
    - Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).

    Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.

Last updated: 31 January 2024

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:

    TypeName
    CourseMaster of Engineering
    CourseMaster of Computer Science
    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: 31 January 2024