• Offered by School of Computing
  • ANU College ANU College of Engineering Computing & Cybernetics
  • Classification Transitional
  • Course subject Computer Science
  • Areas of interest Information Technology
  • Academic career PGRD
  • Course convener
    • Dr Bernardo Pereira Nunes
    • Dr Sergio Rodriguez Mendez
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2023
    Second Semester 2023
    See Future Offerings

In 2023, this course is on campus with remote adjustments only for participants with unavoidable travel restrictions/visa delays.

This course focuses on construction of medium scale programs, using design patterns and tools that are used in the software development process. Students will gain further experience with industry standard revision control and integrated development environment (IDE) tools.
Students will learn appropriate application of programming abstractions they have learned in previous courses to the structuring of medium scale software: inheritance, generic types, polymorphism, procedural abstraction, and abstract recursive data structures (including abstract syntax trees as a program representation, and tools that manipulate them).
The course also covers more advanced data structures, such as priority queues, B-trees, red-black trees, and AVL trees, and deepens understanding of appropriate algorithmic strategies.
The course also treats intellectual property considerations in software development and deployment.

Learning Outcomes

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

  1. Apply fundamental programming concepts for medium scale programs
  2. Understand basic types and the benefits of static typing, with understanding of generics, subtyping, and overloading, and their roles in structuring programs
  3. Map programming language abstractions through to execution environment; use non-source (text) internal representations of programs (e.g., abstract syntax trees); sketch low-level run-time representations of core language constructs (objects and closures)
  4. Describe contractual specifications, analyse documentation and specifications against other’s code, develop, understand, test, and evolve substantial programs using a modern IDE, and associated configuration tools; explain the importance of correctness for quality software; understand common coding errors and how to avoid them; practice fundamental defensive programming; understand principles of secure design
  5. Use, implement, and evaluate more advanced data structures and associated algorithms; discuss factors other than computational efficiency for evaluating software; create, implement, debug, and evaluate algorithms for solving problems, including recursively, using divide-and-conquer, and via decomposition; implement an abstract data type; analyse design and implementation alternatives
  6. Apply basic algorithmic analysis to simple algorithms; use big-O notation formally, upper lower, and expected case bounds; use and solve recurrence relations; use appropriate algorithmic approaches to solve problems (brute-force, greedy, divide-and-conquer, recursive backtracking, heuristic, dynamic programming, branch-and-bound)
  7. Explain how system components contribute to performance; understand Amdahl’s law and its limitations; design and conduct performance experiments; use software tools to profile and measure program performance
  8. Understand, apply, and analyse state and state machines in expressing computations
  9. Understand fundamental concepts of GUIs and user interfaces; understand the basics of modeling and simulation
  10. Contrast the concepts of copyright, patenting, and trademarks as mechanisms for protecting intellectual property, within the legal context for these mechanisms; understand, analyse, and evaluate ethical/social tradeoffs in technical decisions, evaluating stakeholder positions

Indicative Assessment

  1. Assignments/Labs/Tutorials (40) [LO null]
  2. Exam (60) [LO null]

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Thirty one hour lectures and nine 2 hour laboratory sessions

Inherent Requirements


Requisite and Incompatibility

To enrol in this course you must have either completed COMP6700 or COMP6710; and completed or currently be enrolled in MATH6005 or COMP6260; OR be enrolled in Master of Computing (Advanced). Incompatible with COMP2100.

Prescribed Texts

No prescribed textbooks.


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:
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.

6.00 0.12500
Domestic fee paying students
Year Fee
2023 $4860
International fee paying students
Year Fee
2023 $6180
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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2347 20 Feb 2023 27 Feb 2023 31 Mar 2023 26 May 2023 In Person View

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
5818 24 Jul 2023 31 Jul 2023 31 Aug 2023 27 Oct 2023 In Person View

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